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Lorenzo Bruzzone
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- affiliation: University of Trento, Italy
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2020 – today
- 2024
- [j349]Antonis Troumpoukis, Iraklis A. Klampanos, Despina-Athanasia Pantazi, Mohanad Albughdadi, Vasileios Baousis, Omar Barrilero, Alexandra Bojor, Pedro Branco, Lorenzo Bruzzone, Andreina Chietera, Philippe Fournand, Richard Hall, Michele Lazzarini, Adrian Luna, Alexandros Nousias, Christos Perentis, George Petrakis, Dharmen Punjani, David Röbl, George Stamoulis, Eleni Tsalapati, Indre Urbanaviciute, Giulio Weikmann, Xenia Ziouvelou, Marcin Ziólkowski, Manolis Koubarakis, Vangelis Karkaletsis:
European AI and EO convergence via a novel community-driven framework for data-intensive innovation. Future Gener. Comput. Syst. 160: 505-521 (2024) - [j348]Leonardo Carrer, Davide Castelletti, Riccardo Pozzobon, Francesco Sauro, Lorenzo Bruzzone:
A Method for the Characterization of the Interior of Pits From Single Spaceborne SAR Images. IEEE Geosci. Remote. Sens. Lett. 21: 1-5 (2024) - [j347]Alberto Frizzera, Massimo Santoni, Lorenzo Bruzzone:
Multiobjective Optimization of Radar Acquisition Parameters in Flyby Scenarios of Planetary Missions. IEEE Geosci. Remote. Sens. Lett. 21: 1-5 (2024) - [j346]Khatereh Meshkini, Francesca Bovolo, Lorenzo Bruzzone:
Multiannual Change Detection Using a Weakly Supervised 3-D CNN in HR SITS. IEEE Geosci. Remote. Sens. Lett. 21: 1-5 (2024) - [j345]Kunal Pradhan, Swarnajyoti Patra, Lorenzo Bruzzone:
Extended Semantic Edge-Aware Filtering Profile for Hyperspectral Image Classification. IEEE Geosci. Remote. Sens. Lett. 21: 1-5 (2024) - [j344]Yuanhe Yu, Zhouxuan Xiao, Lorenzo Bruzzone, Huan Deng:
Mapping and Analyzing the Spatiotemporal Patterns and Drivers of Multiple Ecosystem Services: A Case Study in the Yangtze and Yellow River Basins. Remote. Sens. 16(2): 411 (2024) - [j343]Shijie Ren, Feng Zhou, Lorenzo Bruzzone:
Transfer-Aware Graph U-Net with Cross-Level Interactions for PolSAR Image Semantic Segmentation. Remote. Sens. 16(8): 1428 (2024) - [j342]Marko Barjaktarovic, Massimo Santoni, Lorenzo Bruzzone:
Design and Verification of a Low-Cost Multispectral Camera for Precision Agriculture Application. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 17: 6945-6957 (2024) - [j341]Luca Bergamasco, Francesca Bovolo, Lorenzo Bruzzone:
Multiscale Hierarchical Losses to Preserve Hidden-Layer Features for Unsupervised Change Detection. IEEE Trans. Geosci. Remote. Sens. 62: 1-16 (2024) - [j340]Yuxing Chen, Lorenzo Bruzzone:
Unsupervised CD in Satellite Image Time Series by Contrastive Learning and Feature Tracking. IEEE Trans. Geosci. Remote. Sens. 62: 1-13 (2024) - [j339]Yuxing Chen, Maofan Zhao, Lorenzo Bruzzone:
A Novel Approach to Incomplete Multimodal Learning for Remote Sensing Data Fusion. IEEE Trans. Geosci. Remote. Sens. 62: 1-14 (2024) - [j338]Jordy Dal Corso, Lorenzo Bruzzone:
An Approach to Semantic Segmentation of Radar Sounder Data Based on Unsupervised Random Walks and User-Guided Label Propagation. IEEE Trans. Geosci. Remote. Sens. 62: 1-19 (2024) - [j337]Nabajyoti Das, Amos Bortiew, Swarnajyoti Patra, Lorenzo Bruzzone:
Dual-Branch CNN Incorporating Multiscale SVD Profile for PolSAR Image Classification. IEEE Trans. Geosci. Remote. Sens. 62: 1-12 (2024) - [j336]Lei Ding, Jing Zhang, Haitao Guo, Kai Zhang, Bing Liu, Lorenzo Bruzzone:
Joint Spatio-Temporal Modeling for Semantic Change Detection in Remote Sensing Images. IEEE Trans. Geosci. Remote. Sens. 62: 1-14 (2024) - [j335]Lei Ding, Kun Zhu, Daifeng Peng, Hao Tang, Kuiwu Yang, Lorenzo Bruzzone:
Adapting Segment Anything Model for Change Detection in VHR Remote Sensing Images. IEEE Trans. Geosci. Remote. Sens. 62: 1-11 (2024) - [j334]Elena Donini, Lorenzo Bruzzone, Francesca Bovolo:
Super-Resolution of Radargrams With a Generative Deep Learning Model. IEEE Trans. Geosci. Remote. Sens. 62: 1-17 (2024) - [j333]Yunlong Liu, Feng Zhang, Shanxin Zhang, Kai Zhang, Jiande Sun, Lorenzo Bruzzone:
Content-Guided Spatial-Spectral Integration Network for Change Detection in HR Remote Sensing Images. IEEE Trans. Geosci. Remote. Sens. 62: 1-16 (2024) - [j332]Khatereh Meshkini, Yady Tatiana Solano Correa, Francesca Bovolo, Lorenzo Bruzzone:
Multiannual Change Detection in Long and Dense Satellite Image Time Series Based on Dynamic Time Warping. IEEE Trans. Geosci. Remote. Sens. 62: 1-12 (2024) - [j331]Linlin Wang, Junping Zhang, Lorenzo Bruzzone:
MixCDNet: A Lightweight Change Detection Network Mixing Features Across CNN and Transformer. IEEE Trans. Geosci. Remote. Sens. 62: 1-15 (2024) - [j330]Xuming Zhang, Naoto Yokoya, Xingfa Gu, Qingjiu Tian, Lorenzo Bruzzone:
Local-to-Global Cross-Modal Attention-Aware Fusion for HSI-X Semantic Segmentation. IEEE Trans. Geosci. Remote. Sens. 62: 1-17 (2024) - [j329]Feng Zhang, Kai Zhang, Jiande Sun, Jian Wang, Lorenzo Bruzzone:
DRFormer: Learning Disentangled Representation for Pan-Sharpening via Mutual Information- Based Transformer. IEEE Trans. Geosci. Remote. Sens. 62: 1-15 (2024) - [j328]Maofan Zhao, Xinli Hu, Linlin Zhang, Qingyan Meng, Yuxing Chen, Lorenzo Bruzzone:
Beyond Pixel-Level Annotation: Exploring Self-Supervised Learning for Change Detection With Image-Level Supervision. IEEE Trans. Geosci. Remote. Sens. 62: 1-16 (2024) - [j327]Hui Zhao, Sicong Liu, Xiaohua Tong, Qian Du, Lorenzo Bruzzone, Kecheng Du, Jie Zhang, Xuanning Lu:
MarsMapNet: A Novel Superpixel-Guided Multiview Feature Fusion Network for Efficient Martian Landform Mapping. IEEE Trans. Geosci. Remote. Sens. 62: 1-16 (2024) - [j326]Yongjie Zheng, Sicong Liu, Hao Chen, Lorenzo Bruzzone:
Hybrid FusionNet: A Hybrid Feature Fusion Framework for Multisource High-Resolution Remote Sensing Image Classification. IEEE Trans. Geosci. Remote. Sens. 62: 1-14 (2024) - [j325]Yinghui Xing, Litao Qu, Shizhou Zhang, Kai Zhang, Yanning Zhang, Lorenzo Bruzzone:
CrossDiff: Exploring Self-SupervisedRepresentation of Pansharpening via Cross-Predictive Diffusion Model. IEEE Trans. Image Process. 33: 5496-5509 (2024) - [c238]Sanchari Thakur, Lorenzo Bruzzone:
Detecting Near-Surface Melt-Water and Basal Ice-Water Interfaces by VHF Radar Sounder Data. IGARSS 2024: 45-48 - [c237]Gianmarco Perantoni, Giulio Weikmann, Lorenzo Bruzzone:
Bayesian Modelling of Multi-Year Crop Type Classification Using Deep Neural Networks and Hidden Markov Models. IGARSS 2024: 941-945 - [c236]Daniel Carcereri, Paola Rizzoli, Luca Dell'Amore, José-Luis Bueso-Bello, Dino Ienco, Lorenzo Bruzzone:
Country-Scale Mapping of Forest Parameters Using Deep Learning and Tandem-X Insar Data. IGARSS 2024: 2279-2284 - [c235]Michele Dalponte, Riccardo Sassi, Damiano Gianelle, Lorenzo Bruzzone, Daniele Marinelli:
Exploring the Detection of Bark Beetle Attacks in Norway Spruce Forests in Sentinel-1 Image Time Series. IGARSS 2024: 5260-5263 - [c234]Abhishek Singh, Giulio Weikmann, Lorenzo Bruzzone:
A Spectrally Regulated Convolution-Based Network for Crop-Mapping with Hyperspectral Images. IGARSS 2024: 7888-7892 - [c233]Jordy Dal Corso, Lorenzo Bruzzone:
Radargrams as Sequences: A Method for The Semantic Segmentation of Radar Sounder Data. IGARSS 2024: 8179-8183 - [c232]Yongjie Zheng, Sicong Liu, Lorenzo Bruzzone:
A Transformer-Enhanced Encoder-Decoder Network For Unsupervised Heterogeneous Remote Sensing Image Change Detection. IGARSS 2024: 8830-8834 - [c231]Ludovica Maria Beati, Marco Cortellazzi, Lorenzo Bruzzone:
Analysis of the Detectability of Lava Flow Formations on Venus by Subsurface Radar Sounding Simulations. IGARSS 2024: 10992-10996 - [i22]Xuming Zhang, Naoto Yokoya, Xingfa Gu, Qingjiu Tian, Lorenzo Bruzzone:
Local-to-Global Cross-Modal Attention-Aware Fusion for HSI-X Semantic Segmentation. CoRR abs/2406.17679 (2024) - 2023
- [j324]Yansheng Li, Xinwei Li, Yongjun Zhang, Daifeng Peng, Lorenzo Bruzzone:
Cost-efficient information extraction from massive remote sensing data: When weakly supervised deep learning meets remote sensing big data. Int. J. Appl. Earth Obs. Geoinformation 120: 103345 (2023) - [j323]Amos Bortiew, Swarnajyoti Patra, Lorenzo Bruzzone:
Active Learning for Hyperspectral Image Classification Using Kernel Sparse Representation Classifiers. IEEE Geosci. Remote. Sens. Lett. 20: 1-5 (2023) - [j322]Abhishek Singh, Lorenzo Bruzzone:
WIANet: A Wavelet-Inspired Attention-Based Convolution Neural Network for Land Cover Classification. IEEE Geosci. Remote. Sens. Lett. 20: 1-5 (2023) - [j321]Lifeng Wang, Junguo Zhang, Liguo Wang, Lorenzo Bruzzone:
SFFGL: A Semantic Feature Fused Global Learning Framework for Multiclass Change Detection in Hyperspectral Images. IEEE Geosci. Remote. Sens. Lett. 20: 1-5 (2023) - [j320]Yongjie Zheng, Sicong Liu, Lorenzo Bruzzone:
An Attention-Enhanced Feature Fusion Network (AeF2N) for Hyperspectral Image Classification. IEEE Geosci. Remote. Sens. Lett. 20: 1-5 (2023) - [j319]Luca Bergamasco, Francesca Bovolo, Lorenzo Bruzzone:
A Dual-Branch Deep Learning Architecture for Multisensor and Multitemporal Remote Sensing Semantic Segmentation. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 16: 2147-2162 (2023) - [j318]Parth Naik, Michele Dalponte, Lorenzo Bruzzone:
Automated Machine Learning Driven Stacked Ensemble Modeling for Forest Aboveground Biomass Prediction Using Multitemporal Sentinel-2 Data. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 16: 3442-3454 (2023) - [j317]Giulio Weikmann, Daniele Marinelli, Claudia Paris, Silke Migdall, Eva Gleisberg, Florian Appel, Heike Bach, Jim Dowling, Lorenzo Bruzzone:
Multiyear Mapping of Water Demand at Crop Level: An End-to-End Workflow Based on High-Resolution Crop Type Maps and Meteorological Data. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 16: 6758-6775 (2023) - [j316]Daniel Carcereri, Paola Rizzoli, Dino Ienco, Lorenzo Bruzzone:
A Deep Learning Framework for the Estimation of Forest Height From Bistatic TanDEM-X Data. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 16: 8334-8352 (2023) - [j315]Leonardo Carrer, Lorenzo Bruzzone:
Analysis of Lava Tubes' Roughness and Radar Near-Nadir Regime Backscattering Properties. IEEE Trans. Geosci. Remote. Sens. 61: 1-13 (2023) - [j314]Leonardo Carrer, Davide Castelletti, Riccardo Pozzobon, Francesco Sauro, Lorenzo Bruzzone:
A Novel Method for Hidden Natural Caves Characterization and Accessibility Assessment From Spaceborne VHR SAR Images. IEEE Trans. Geosci. Remote. Sens. 61: 1-11 (2023) - [j313]Renchu Guan, Mingming Wang, Lorenzo Bruzzone, Haishi Zhao, Chen Yang:
Lightweight Attention Network for Very High-Resolution Image Semantic Segmentation. IEEE Trans. Geosci. Remote. Sens. 61: 1-14 (2023) - [j312]Elisa Sbalchiero, Marco Cortellazzi, Sanchari Thakur, Lorenzo Bruzzone:
A Dictionary-Based Integrated Simulation Approach to Model Large- and Small-Scale Coherent Surface Scattering Phenomena in Radar Sounder Data. IEEE Trans. Geosci. Remote. Sens. 61: 1-19 (2023) - [j311]Zhi Sheng, Feng Zhang, Jiande Sun, Yanyan Tan, Kai Zhang, Lorenzo Bruzzone:
A Unified Two-Stage Spatial and Spectral Network With Few-Shot Learning for Pansharpening. IEEE Trans. Geosci. Remote. Sens. 61: 1-17 (2023) - [j310]Xuming Zhang, Yuanchao Su, Lianru Gao, Lorenzo Bruzzone, Xingfa Gu, Qingjiu Tian:
A Lightweight Transformer Network for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 61: 1-17 (2023) - [j309]Kai Zhang, Anfei Wang, Feng Zhang, Wenbo Wan, Jiande Sun, Lorenzo Bruzzone:
Spatial-Spectral Dual Back-Projection Network for Pansharpening. IEEE Trans. Geosci. Remote. Sens. 61: 1-16 (2023) - [j308]Kai Zhang, Xue Zhao, Feng Zhang, Lei Ding, Jiande Sun, Lorenzo Bruzzone:
Relation Changes Matter: Cross-Temporal Difference Transformer for Change Detection in Remote Sensing Images. IEEE Trans. Geosci. Remote. Sens. 61: 1-15 (2023) - [j307]Maofan Zhao, Qingyan Meng, Linlin Zhang, Xinli Hu, Lorenzo Bruzzone:
Local and Long-Range Collaborative Learning for Remote Sensing Scene Classification. IEEE Trans. Geosci. Remote. Sens. 61: 1-15 (2023) - [j306]Wenxiu Diao, Feng Zhang, Jiande Sun, Yinghui Xing, Kai Zhang, Lorenzo Bruzzone:
ZeRGAN: Zero-Reference GAN for Fusion of Multispectral and Panchromatic Images. IEEE Trans. Neural Networks Learn. Syst. 34(11): 8195-8209 (2023) - [c230]Antonis Troumpoukis, Iraklis A. Klampanos, Despina-Athanasia Pantazi, Eleni Tsalapati, Mohanad Albughdadi, Mihai Alexe, Vasileios Baousis, Omar Barrilero, Bryce Billière, Alexandra Bojor, Pedro Branco, Lorenzo Bruzzone, Andreina Chietera, Philippe Fournand, Richard Hall, David Hassan, Michele Lazzarini, Adrian Luna, Dharmen Punjani, George Stamoulis, Giulio Weikmann, Marcin Ziólkowski, Xenia Ziouvelou, Manolis Koubarakis, Vangelis Karkaletsis:
Bridging the European Earth-Observation and AI Communities for Data-Intensive Innovation. BigDataService 2023: 9-16 - [c229]Florian Appel, Heike Bach, Silke Migdall, Manolis Koubarakis, George Stamoulis, Dimitris Bilidas, Despina-Athanasia Pantazi, Lorenzo Bruzzone, Claudia Paris, Giulio Weikmann:
ExtremeEarth: Managing Water Availability for Crops Using Earth Observation and Machine Learning. EDBT 2023: 749-756 - [c228]Leonardo Carrer, Davide Castelletti, Riccardo Pozzobon, Francesco Sauro, Lorenzo Bruzzone:
Advances in The Characterization of Caves From Spaceborne X-Band VHR Sar Images. IGARSS 2023: 1380-1383 - [c227]Daniel Carcereri, Paola Rizzoli, Dino Ienco, Lorenzo Bruzzone:
Potential of Deep Learning for Forest Height Estimation from Tandem-X Bistatic Insar Data. IGARSS 2023: 1481-1484 - [c226]Yuxing Chen, Lorenzo Bruzzone:
Toward Open-World Semantic Segmentation of Remote Sensing Images. IGARSS 2023: 5045-5048 - [c225]Abhishek Singh, Lorenzo Bruzzone:
Refining Land-Cover Weak Labels Using a Discrete Wavelet Transform Inspired Deep Adversarial Model. IGARSS 2023: 5387-5390 - [c224]Jing Zhang, Lei Ding, Lorenzo Bruzzone:
Bi-Directional Temporal Modelling for Semantic Change Detection in Remote Sensing Images. IGARSS 2023: 5503-5506 - [c223]Elena Donini, Alessandro Zuech, Lorenzo Bruzzone, Francesca Bovolo:
Deep Learning for Unsupervised Denoising of Radar Sounder Data. IGARSS 2023: 7804-7807 - [c222]Khatereh Meshkini, Francesca Bovolo, Lorenzo Bruzzone:
A Multi-Feature Hyper-Temporal Change Vector Analysis Method for Change Detection in Multi-Annual Time Series of HR Satellite Images. IGARSS 2023: 8315-8318 - [i21]Yuxing Chen, Lorenzo Bruzzone:
Unsupervised CD in satellite image time series by contrastive learning and feature tracking. CoRR abs/2304.11375 (2023) - [i20]Yuxing Chen, Maofan Zhao, Lorenzo Bruzzone:
Incomplete Multimodal Learning for Remote Sensing Data Fusion. CoRR abs/2304.11381 (2023) - [i19]Lei Ding, Kun Zhu, Daifeng Peng, Hao Tang, Kuiwu Yang, Lorenzo Bruzzone:
Adapting Segment Anything Model for Change Detection in HR Remote Sensing Images. CoRR abs/2309.01429 (2023) - [i18]Houcai Guo, Dingqi Ye, Lorenzo Bruzzone:
OBSUM: An object-based spatial unmixing model for spatiotemporal fusion of remote sensing images. CoRR abs/2310.09517 (2023) - 2022
- [j305]Lei Ding, Kai Zheng, Dong Lin, Yuxing Chen, Bing Liu, Jiansheng Li, Lorenzo Bruzzone:
MP-ResNet: Multipath Residual Network for the Semantic Segmentation of High-Resolution PolSAR Images. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - [j304]Daniele Marinelli, Nicholas C. Coops, Douglas K. Bolton, Lorenzo Bruzzone:
Forest Change Detection in Lidar Data Based on Polar Change Vector Analysis. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - [j303]Daniele Marinelli, Claudia Paris, Lorenzo Bruzzone:
A Triangulation-Based Technique for Tree-Top Detection in Heterogeneous Forest Structures Using High Density LiDAR Data. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - [j302]Daniele Marinelli, Claudia Paris, Lorenzo Bruzzone:
An Approach Based on Deep Learning for Tree Species Classification in LiDAR Data Acquired in Mixed Forest. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - [j301]Qingyan Meng, Maofan Zhao, Linlin Zhang, Wenxu Shi, Chen Su, Lorenzo Bruzzone:
Multilayer Feature Fusion Network With Spatial Attention and Gated Mechanism for Remote Sensing Scene Classification. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - [j300]Claudia Paris, Luca Orlandi, Lorenzo Bruzzone:
An Interactive Strategy for the Training Set Definition Based on Active Self-Paced Learning Implemented on a Cloud-Computing Platform. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - [j299]Haohao Ren, Xuelian Yu, Lorenzo Bruzzone, Yukun Zhang, Lin Zou, Xuegang Wang:
A Bayesian Approach to Active Self-Paced Deep Learning for SAR Automatic Target Recognition. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - [j298]Sudipan Saha, Francesca Bovolo, Lorenzo Bruzzone:
Change Detection in Image Time-Series Using Unsupervised LSTM. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - [j297]Abhishek Singh, Lorenzo Bruzzone:
SIGAN: Spectral Index Generative Adversarial Network for Data Augmentation in Multispectral Remote Sensing Images. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - [j296]Abhishek Singh, Lorenzo Bruzzone:
Mono- and Dual-Regulated Contractive-Expansive-Contractive Deep Convolutional Networks for Classification of Multispectral Remote Sensing Images. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - [j295]Sanchari Thakur, Leonardo Carrer, Lorenzo Bruzzone:
Analysis of Earth's Ionosphere Effects on Englacial Layering Detectability in Spaceborne Radar Sounders Data. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - [j294]Wei Yao, Cheng Lian, Lorenzo Bruzzone:
A CNN Ensemble Based on a Spectral Feature Refining Module for Hyperspectral Image Classification. Remote. Sens. 14(19): 4982 (2022) - [j293]Sicong Liu, Francesca Bovolo, Lorenzo Bruzzone, Xiaohua Tong, Qian Du:
Editorial Foreword to the Special Issue on Recent Advances in Multitemporal Remote-Sensing Data Processing. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 15: 776-778 (2022) - [j292]Aravind Harikumar, Xinlian Liang, Francesca Bovolo, Lorenzo Bruzzone:
Void-Volume-Based Stem Geometric Modeling and Branch-Knot Localization in Terrestrial Laser Scanning Data. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 15: 3024-3040 (2022) - [j291]Yady Tatiana Solano Correa, Khatereh Meshkini, Francesca Bovolo, Lorenzo Bruzzone:
Automatic Large-Scale Precise Mapping and Monitoring of Agricultural Fields at Country Level With Sentinel-2 SITS. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 15: 3131-3145 (2022) - [j290]Parth Naik, Michele Dalponte, Lorenzo Bruzzone:
Generative Feature Extraction From Sentinel 1 and 2 Data for Prediction of Forest Aboveground Biomass in the Italian Alps. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 15: 4755-4771 (2022) - [j289]Claudia Paris, Luca Gasparella, Lorenzo Bruzzone:
A Scalable High-Performance Unsupervised System for Producing Large-Scale HR Land Cover Maps: The Italian Country Case Study. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 15: 9146-9159 (2022) - [j288]Kai Zhang, Anfei Wang, Feng Zhang, Wenxiu Diao, Jiande Sun, Lorenzo Bruzzone:
Spatial and Spectral Extraction Network With Adaptive Feature Fusion for Pansharpening. IEEE Trans. Geosci. Remote. Sens. 60: 1-14 (2022) - [j287]Luca Bergamasco, Sudipan Saha, Francesca Bovolo, Lorenzo Bruzzone:
Unsupervised Change Detection Using Convolutional-Autoencoder Multiresolution Features. IEEE Trans. Geosci. Remote. Sens. 60: 1-19 (2022) - [j286]Leonardo Carrer, Lorenzo Bruzzone:
A Novel Approach to the Detection and Imaging of Candidate Martian Subglacial Water Bodies by Radar Sounder Data. IEEE Trans. Geosci. Remote. Sens. 60: 1-15 (2022) - [j285]Leonardo Carrer, Sanchari Thakur, Luca Sericati, Lorenzo Bruzzone:
Clutter Reduction by Estimation of Echoes Direction of Arrival in Distributed Radar Sounders in Formation Flying. IEEE Trans. Geosci. Remote. Sens. 60: 1-13 (2022) - [j284]Yuxing Chen, Lorenzo Bruzzone:
Self-Supervised Change Detection in Multiview Remote Sensing Images. IEEE Trans. Geosci. Remote. Sens. 60: 1-12 (2022) - [j283]Yuxing Chen, Lorenzo Bruzzone:
Self-Supervised SAR-Optical Data Fusion of Sentinel-1/-2 Images. IEEE Trans. Geosci. Remote. Sens. 60: 1-11 (2022) - [j282]Yuxing Chen, Lorenzo Bruzzone:
A Self-Supervised Approach to Pixel-Level Change Detection in Bi-Temporal RS Images. IEEE Trans. Geosci. Remote. Sens. 60: 1-11 (2022) - [j281]Lei Ding, Haitao Guo, Sicong Liu, Lichao Mou, Jing Zhang, Lorenzo Bruzzone:
Bi-Temporal Semantic Reasoning for the Semantic Change Detection in HR Remote Sensing Images. IEEE Trans. Geosci. Remote. Sens. 60: 1-14 (2022) - [j280]Lei Ding, Dong Lin, Shaofu Lin, Jing Zhang, Xiaojie Cui, Yuebin Wang, Hao Tang, Lorenzo Bruzzone:
Looking Outside the Window: Wide-Context Transformer for the Semantic Segmentation of High-Resolution Remote Sensing Images. IEEE Trans. Geosci. Remote. Sens. 60: 1-13 (2022) - [j279]Elena Donini, Francesca Bovolo, Lorenzo Bruzzone:
A Deep Learning Architecture for Semantic Segmentation of Radar Sounder Data. IEEE Trans. Geosci. Remote. Sens. 60: 1-14 (2022) - [j278]Elena Donini, Leonardo Carrer, Christopher Gerekos, Lorenzo Bruzzone, Francesca Bovolo:
An Unsupervised Fuzzy System for the Automatic Detection of Candidate Lava Tubes in Radar Sounder Data. IEEE Trans. Geosci. Remote. Sens. 60: 1-19 (2022) - [j277]Jianming Hu, Xiyang Zhi, Shikai Jiang, Hao Tang, Wei Zhang, Lorenzo Bruzzone:
Supervised Multi-Scale Attention-Guided Ship Detection in Optical Remote Sensing Images. IEEE Trans. Geosci. Remote. Sens. 60: 1-14 (2022) - [j276]Sicong Liu, Hui Zhao, Qian Du, Lorenzo Bruzzone, Alim Samat, Xiaohua Tong:
Novel Cross-Resolution Feature-Level Fusion for Joint Classification of Multispectral and Panchromatic Remote Sensing Images. IEEE Trans. Geosci. Remote. Sens. 60: 1-14 (2022) - [j275]Sicong Liu, Yongjie Zheng, Qian Du, Lorenzo Bruzzone, Alim Samat, Xiaohua Tong, Yanmin Jin, Chao Wang:
A Shallow-to-Deep Feature Fusion Network for VHR Remote Sensing Image Classification. IEEE Trans. Geosci. Remote. Sens. 60: 1-13 (2022) - [j274]Lichao Mou, Yuansheng Hua, Sudipan Saha, Francesca Bovolo, Lorenzo Bruzzone, Xiao Xiang Zhu:
Detecting Changes by Learning No Changes: Data-Enclosing-Ball Minimizing Autoencoders for One-Class Change Detection in Multispectral Imagery. IEEE Trans. Geosci. Remote. Sens. 60: 1-16 (2022) - [j273]Lichao Mou, Sudipan Saha, Yuansheng Hua, Francesca Bovolo, Lorenzo Bruzzone, Xiao Xiang Zhu:
Deep Reinforcement Learning for Band Selection in Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 60: 1-14 (2022) - [j272]Daifeng Peng, Haiyan Guan, Yufu Zang, Lorenzo Bruzzone:
Full-Level Domain Adaptation for Building Extraction in Very-High-Resolution Optical Remote-Sensing Images. IEEE Trans. Geosci. Remote. Sens. 60: 1-17 (2022) - [j271]Gianmarco Perantoni, Lorenzo Bruzzone:
A Novel Technique for Robust Training of Deep Networks With Multisource Weak Labeled Remote Sensing Data. IEEE Trans. Geosci. Remote. Sens. 60: 1-15 (2022) - [j270]Longfei Ren, Zheng Ma, Francesca Bovolo, Lorenzo Bruzzone:
A Nonconvex Framework for Sparse Unmixing Incorporating the Group Structure of the Spectral Library. IEEE Trans. Geosci. Remote. Sens. 60: 1-19 (2022) - [j269]Thomas Maximillian Roberts, Andrew Romero-Wolf, Lorenzo Bruzzone, Leonardo Carrer, Sean T. Peters, Dustin M. Schroeder:
Conditioning Jovian Burst Signals for Passive Sounding Applications. IEEE Trans. Geosci. Remote. Sens. 60: 1-14 (2022) - [j268]Elisa Sbalchiero, Sanchari Thakur, Lorenzo Bruzzone:
A Range-Doppler Method for Focusing Radar Sounder Data Generated by Coherent Electromagnetic Simulators. IEEE Trans. Geosci. Remote. Sens. 60: 1-19 (2022) - [j267]Sanchari Thakur, Elena Donini, Francesca Bovolo, Lorenzo Bruzzone:
An Approach to the Assessment of Detectability of Subsurface Targets in Polar Ice From Satellite Radar Sounders. IEEE Trans. Geosci. Remote. Sens. 60: 1-21 (2022) - [j266]Liguo Wang, Lifeng Wang, Qunming Wang, Lorenzo Bruzzone:
RSCNet: A Residual Self-Calibrated Network for Hyperspectral Image Change Detection. IEEE Trans. Geosci. Remote. Sens. 60: 1-17 (2022) - [j265]Lifeng Wang, Liguo Wang, Heng Wang, Xiaoyi Wang, Lorenzo Bruzzone:
SPCNet: A Subpixel Convolution-Based Change Detection Network for Hyperspectral Images With Different Spatial Resolutions. IEEE Trans. Geosci. Remote. Sens. 60: 1-14 (2022) - [j264]Dingqi Ye, Jian Peng, Haifeng Li, Lorenzo Bruzzone:
Better Memorization, Better Recall: A Lifelong Learning Framework for Remote Sensing Image Scene Classification. IEEE Trans. Geosci. Remote. Sens. 60: 1-14 (2022) - [j263]Massimo Zanetti, Sudipan Saha, Daniele Marinelli, Maria Lucia Magliozzi, Massimo Zavagli, Mario Costantini, Francesca Bovolo, Lorenzo Bruzzone:
A System for Burned Area Detection on Multispectral Imagery. IEEE Trans. Geosci. Remote. Sens. 60: 1-15 (2022) - [j262]Hui Zhao, Sicong Liu, Qian Du, Lorenzo Bruzzone, Yongjie Zheng, Kecheng Du, Xiaohua Tong, Huan Xie, Xiaolong Ma:
GCFnet: Global Collaborative Fusion Network for Multispectral and Panchromatic Image Classification. IEEE Trans. Geosci. Remote. Sens. 60: 1-14 (2022) - [j261]Haishi Zhao, Fengfeng Zhou, Lorenzo Bruzzone, Renchu Guan, Chen Yang:
Superpixel-Level Global and Local Similarity Graph-Based Clustering for Large Hyperspectral Images. IEEE Trans. Geosci. Remote. Sens. 60: 1-16 (2022) - [j260]Lei Ding, Hao Tang, Yahui Liu, Yilei Shi, Xiao Xiang Zhu, Lorenzo Bruzzone:
Adversarial Shape Learning for Building Extraction in VHR Remote Sensing Images. IEEE Trans. Image Process. 31: 678-690 (2022) - [c221]Sergio Povoli, Mauro di Donna, Flavia Macina, Corrado Avolio, Massimo Zavagli, Mario Costantini, Lorenzo Bruzzone:
A Deep Learning Approach to Ship Detection and Characterization from Multiresolution Satellite SAR Images. IGARSS 2022: 643-646 - [c220]Abhishek Singh, Lorenzo Bruzzone:
Data Augmentation Through Spectrally Controlled Adversarial Networks for Classification of Multispectral Remote Sensing Images. IGARSS 2022: 651-654 - [c219]Lifeng Wang, Liguo Wang, Lorenzo Bruzzone:
A Sub-Pixel Convolution-Based Residual Network for Hyperspectral Image Change Detection. IGARSS 2022: 1059-1062 - [c218]Leonardo Carrer, Sanchari Thakur, Lorenzo Bruzzone:
Clutter Discrimination by Estimation of Direction of Arrival in Spaceborne Distributed Radar Sounders. IGARSS 2022: 1324-1327 - [c217]Sanchari Thakur, Elisa Nicolussi Paolaz, Elisa Sbalchiero, Lorenzo Bruzzone:
Analysis of Surface Clutter for Subsurface Radar Sounding on Venus. IGARSS 2022: 1340-1343 - [c216]Leonardo Carrer, Davide Castelletti, Riccardo Pozzobon, Francesco Sauro, Lorenzo Bruzzone:
Subsurface Cavities Characterization from X-Band VHR Spaceborne SAR Images. IGARSS 2022: 1468-1471 - [c215]Elena Donini, Amar Kasibovic, Miguel Hoyo García, Lorenzo Bruzzone, Francesca Bovolo:
An Unsupervised Deep Learning Method for the Super-Resolution of Radar Sounder Data. IGARSS 2022: 1696-1699 - [c214]Sanid Chirakkal, Francesca Bovolo, Arundhati Misra, Lorenzo Bruzzone, Avik Bhattacharya:
Unsupervised Multiclass Change Detection for Multimodal Remote Sensing Data. IGARSS 2022: 3223-3226 - [c213]Yuxing Chen, Lorenzo Bruzzone:
AN Approach Based on Contrastive Learning and Vector Quantization to the Unsupervised Land-Cover Segmentation of Multimodal Images. IGARSS 2022: 4811-4814 - [c212]Jian Peng, Dingqi Ye, Lorenzo Bruzzone:
Asymmetric Collaborative Network: Transferable Lifelong Learning for Remote Sensing Images. IGARSS 2022: 5057-5060 - [c211]Daniel Carcereri, Paola Rizzoli, Dino Ienco, José-Luis Bueso-Bello, Carolina González, Stefano Puliti, Lorenzo Bruzzone:
Large Scale Forest Parameter Estimation Through a Deep Learning-Based Fusion of Sentinel-2 and Tandem-X Data. IGARSS 2022: 5773-5776 - [c210]Elisa Sbalchiero, Sanchari Thakur, Lorenzo Bruzzone:
A Method for Focusing Raw Simulated Radar Sounder Data. IGARSS 2022: 8004-8007 - [i17]Lei Ding, Jing Zhang, Kai Zhang, Haitao Guo, Bing Liu, Lorenzo Bruzzone:
Joint Spatio-Temporal Modeling for the Semantic Change Detection in Remote Sensing Images. CoRR abs/2212.05245 (2022) - 2021
- [j259]Daifeng Peng, Lorenzo Bruzzone, Yongjun Zhang, Haiyan Guan, Pengfei He:
SCDNET: A novel convolutional network for semantic change detection in high resolution optical remote sensing imagery. Int. J. Appl. Earth Obs. Geoinformation 103: 102465 (2021) - [j258]Sudipan Saha, Lichao Mou, Xiao Xiang Zhu, Francesca Bovolo, Lorenzo Bruzzone:
Semisupervised Change Detection Using Graph Convolutional Network. IEEE Geosci. Remote. Sens. Lett. 18(4): 607-611 (2021) - [j257]Sudipan Saha, Yady Tatiana Solano Correa, Francesca Bovolo, Lorenzo Bruzzone:
Unsupervised Deep Transfer Learning-Based Change Detection for HR Multispectral Images. IEEE Geosci. Remote. Sens. Lett. 18(5): 856-860 (2021) - [j256]Wei Yao, Cheng Lian, Lorenzo Bruzzone:
ClusterCNN: Clustering-Based Feature Learning for Hyperspectral Image Classification. IEEE Geosci. Remote. Sens. Lett. 18(11): 1991-1995 (2021) - [j255]Parth Naik, Michele Dalponte, Lorenzo Bruzzone:
Prediction of Forest Aboveground Biomass Using Multitemporal Multispectral Remote Sensing Data. Remote. Sens. 13(7): 1282 (2021) - [j254]Milad Niroumand Jadidi, Francesca Bovolo, Lorenzo Bruzzone, Peter Gege:
Inter-Comparison of Methods for Chlorophyll-a Retrieval: Sentinel-2 Time-Series Analysis in Italian Lakes. Remote. Sens. 13(12): 2381 (2021) - [j253]Haohao Ren, Xuelian Yu, Lin Zou, Yun Zhou, Xuegang Wang, Lorenzo Bruzzone:
Extended convolutional capsule network with application on SAR automatic target recognition. Signal Process. 183: 108021 (2021) - [j252]Giulio Weikmann, Claudia Paris, Lorenzo Bruzzone:
TimeSen2Crop: A Million Labeled Samples Dataset of Sentinel 2 Image Time Series for Crop-Type Classification. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 14: 4699-4708 (2021) - [j251]Desta Haileselassie Hagos, Theofilos Kakantousis, Vladimir Vlassov, Sina Sheikholeslami, Tianze Wang, Jim Dowling, Claudia Paris, Daniele Marinelli, Giulio Weikmann, Lorenzo Bruzzone, Salman Khaleghian, Thomas Krämer, Torbjørn Eltoft, Andrea Marinoni, Despina-Athanasia Pantazi, George Stamoulis, Dimitris Bilidas, George Papadakis, Georgios M. Mandilaras, Manolis Koubarakis, Antonis Troumpoukis, Stasinos Konstantopoulos, Markus Muerth, Florian Appel, Andrew Fleming, Andreas Cziferszky:
ExtremeEarth Meets Satellite Data From Space. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 14: 9038-9063 (2021) - [j250]Valentina Premier, Carlo Marin, Stefan Steger, Claudia Notarnicola, Lorenzo Bruzzone:
A Novel Approach Based on a Hierarchical Multiresolution Analysis of Optical Time Series to Reconstruct the Daily High-Resolution Snow Cover Area. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 14: 9223-9240 (2021) - [j249]Rocco Sedona, Claudia Paris, Gabriele Cavallaro, Lorenzo Bruzzone, Morris Riedel:
A High-Performance Multispectral Adaptation GAN for Harmonizing Dense Time Series of Landsat-8 and Sentinel-2 Images. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 14: 10134-10146 (2021) - [j248]Sanid Chirakkal, Francesca Bovolo, Arundhati Ray Misra, Lorenzo Bruzzone, Avik Bhattacharya:
A General Framework for Change Detection Using Multimodal Remote Sensing Data. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 14: 10665-10680 (2021) - [j247]Lei Ding, Hao Tang, Lorenzo Bruzzone:
LANet: Local Attention Embedding to Improve the Semantic Segmentation of Remote Sensing Images. IEEE Trans. Geosci. Remote. Sens. 59(1): 426-435 (2021) - [j246]Sudipan Saha, Francesca Bovolo, Lorenzo Bruzzone:
Building Change Detection in VHR SAR Images via Unsupervised Deep Transcoding. IEEE Trans. Geosci. Remote. Sens. 59(3): 1917-1929 (2021) - [j245]Claudia Paris, Lorenzo Bruzzone:
A Novel Approach to the Unsupervised Extraction of Reliable Training Samples From Thematic Products. IEEE Trans. Geosci. Remote. Sens. 59(3): 1930-1948 (2021) - [j244]Leonardo Carrer, Federico Zancanella, Lorenzo Bruzzone:
Mars Surface Imaging by Exploiting Off-Nadir Radar Sounding Data. IEEE Trans. Geosci. Remote. Sens. 59(4): 2951-2961 (2021) - [j243]Akshara Preethy Byju, Gencer Sumbul, Begüm Demir, Lorenzo Bruzzone:
Remote-Sensing Image Scene Classification With Deep Neural Networks in JPEG 2000 Compressed Domain. IEEE Trans. Geosci. Remote. Sens. 59(4): 3458-3472 (2021) - [j242]Leonardo Carrer, Dustin M. Schroeder, Andrew Romero-Wolf, Paul A. Ries, Lorenzo Bruzzone:
Analysis of Temporal and Structural Characteristics of Jovian Radio Emissions for Passive Radar Sounding of Jupiter's Icy Moons. IEEE Trans. Geosci. Remote. Sens. 59(5): 3857-3874 (2021) - [j241]Francescopaolo Sica, Giorgia Gobbi, Paola Rizzoli, Lorenzo Bruzzone:
Φ-Net: Deep Residual Learning for InSAR Parameters Estimation. IEEE Trans. Geosci. Remote. Sens. 59(5): 3917-3941 (2021) - [j240]Aravind Harikumar, Claudia Paris, Francesca Bovolo, Lorenzo Bruzzone:
A Crown Quantization-Based Approach to Tree-Species Classification Using High-Density Airborne Laser Scanning Data. IEEE Trans. Geosci. Remote. Sens. 59(5): 4444-4453 (2021) - [j239]Yuxing Chen, Lorenzo Bruzzone, Liming Jiang, Qishi Sun:
ARU-Net: Reduction of Atmospheric Phase Screen in SAR Interferometry Using Attention-Based Deep Residual U-Net. IEEE Trans. Geosci. Remote. Sens. 59(7): 5780-5793 (2021) - [j238]Daifeng Peng, Lorenzo Bruzzone, Yongjun Zhang, Haiyan Guan, Haiyong Ding, Xu Huang:
SemiCDNet: A Semisupervised Convolutional Neural Network for Change Detection in High Resolution Remote-Sensing Images. IEEE Trans. Geosci. Remote. Sens. 59(7): 5891-5906 (2021) - [j237]Swalpa Kumar Roy, Suvojit Manna, Tiecheng Song, Lorenzo Bruzzone:
Attention-Based Adaptive Spectral-Spatial Kernel ResNet for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 59(9): 7831-7843 (2021) - [j236]Sanchari Thakur, Lorenzo Bruzzone:
An Approach to the Generation and Analysis of Databases of Simulated Radar Sounder Data for Performance Prediction and Target Interpretation. IEEE Trans. Geosci. Remote. Sens. 59(10): 8269-8287 (2021) - [j235]Haishi Zhao, Lorenzo Bruzzone, Renchu Guan, Fengfeng Zhou, Chen Yang:
Spectral-Spatial Genetic Algorithm-Based Unsupervised Band Selection for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 59(11): 9616-9632 (2021) - [j234]Lei Ding, Lorenzo Bruzzone:
DiResNet: Direction-Aware Residual Network for Road Extraction in VHR Remote Sensing Images. IEEE Trans. Geosci. Remote. Sens. 59(12): 10243-10254 (2021) - [c209]Iwona Podsiadlo, Claudia Paris, Lorenzo Bruzzone:
An Approach Based on Low Resolution Land-Cover-Maps and Domain Adaptation to Define Representative Training Sets at Large Scale. IGARSS 2021: 313-316 - [c208]Sivaprasad Gogineni, Stephen Yan, Paul Song, John L. Volakis, D. Deshpande, Ivan Galkin, Jason M. Soderblom, Alex G. Hayes, Bodo Reinisch, Robert H. Giles, Rohan Sood, Hua-Liang Zhang, David Braaten, Lorenzo Bruzzone, Satheesh Bojja Venkatakrishnan, R. Taylor:
UWB MIMO Radars for Sounding and Imaging of Ice on the Earth and Other Celestial Bodies. IGARSS 2021: 657-660 - [c207]Lorenzo Bruzzone, Francesca Bovolo, Leonardo Carrer, Elena Donini, Sanchari Thakur:
STRATUS: A new mission concept for monitoring the subsurface of polar and arid regions. IGARSS 2021: 661-664 - [c206]Yuanxin Ye, Bai Zhu, Liang Zhou, Lorenzo Bruzzone:
A Fast and Robust Matching System for Multimodal Remote Sensing Image Registration. IGARSS 2021: 1249-1251 - [c205]Elena Donini, Francesca Bovolo, Lorenzo Bruzzone:
An Unsupervised Deep Learning Method for Subsurface Target Detection in Radar Sounder Data. IGARSS 2021: 2955-2958 - [c204]Parth Naik, Michele Dalponte, Lorenzo Bruzzone:
A Disentangled Variational Autoencoder for Prediction of Above Ground Biomass from Hyperspectral Data. IGARSS 2021: 2991-2994 - [c203]Yuxing Chen, Lorenzo Bruzzone:
Self-Supervised Change Detection by Fusing SAR and Optical Multi-Temporal Images. IGARSS 2021: 3101-3104 - [c202]Luca Bergamasco, Luca Martinatti, Francesca Bovolo, Lorenzo Bruzzone:
An Unsupervised Change Detection Technique Based on a Super-Resolution Convolutional Autoencoder. IGARSS 2021: 3337-3340 - [c201]Khatereh Meshkini, Francesca Bovolo, Lorenzo Bruzzone:
An Unsupervised Change Detection Approach for Dense Satellite Image Time Series Using 3D CNN. IGARSS 2021: 4336-4339 - [c200]Valentina Premier, Carlo Marin, Claudia Notarnicola, Lorenzo Bruzzone:
A Multisource Statistical Method to Downscale Snow Cover Fraction in Mountain Regions. IGARSS 2021: 5481-5484 - [i16]Lei Ding, Hao Tang, Yahui Liu, Yilei Shi, Lorenzo Bruzzone:
Adversarial Shape Learning for Building Extraction in VHR Remote Sensing Images. CoRR abs/2102.11262 (2021) - [i15]Lichao Mou, Sudipan Saha, Yuansheng Hua, Francesca Bovolo, Lorenzo Bruzzone, Xiao Xiang Zhu:
Deep Reinforcement Learning for Band Selection in Hyperspectral Image Classification. CoRR abs/2103.08741 (2021) - [i14]Yuanxin Ye, Jie Shan, Lorenzo Bruzzone, Li Shen:
Robust Registration of Multimodal Remote Sensing Images Based on Structural Similarity. CoRR abs/2103.16871 (2021) - [i13]Devis Tuia, Claudio Persello, Lorenzo Bruzzone:
Recent Advances in Domain Adaptation for the Classification of Remote Sensing Data. CoRR abs/2104.07778 (2021) - [i12]Lei Ding, Dong Lin, Shaofu Lin, Jing Zhang, Xiaojie Cui, Yuebin Wang, Hao Tang, Lorenzo Bruzzone:
Looking Outside the Window: Wider-Context Transformer for the Semantic Segmentation of High-Resolution Remote Sensing Images. CoRR abs/2106.15754 (2021) - [i11]Lei Ding, Haitao Guo, Sicong Liu, Lichao Mou, Jing Zhang, Lorenzo Bruzzone:
Bi-Temporal Semantic Reasoning for the Semantic Change Detection in HR Remote Sensing Images. CoRR abs/2108.06103 (2021) - 2020
- [j233]Davide Pirrone, Shaunak De, Avik Bhattacharya, Lorenzo Bruzzone, Francesca Bovolo:
An Unsupervised Approach to Change Detection in Built-Up Areas by Multitemporal PolSAR Images. IEEE Geosci. Remote. Sens. Lett. 17(11): 1914-1918 (2020) - [j232]Jing Zhang, Shaofu Lin, Lei Ding, Lorenzo Bruzzone:
Multi-Scale Context Aggregation for Semantic Segmentation of Remote Sensing Images. Remote. Sens. 12(4): 701 (2020) - [j231]Milad Niroumand Jadidi, Francesca Bovolo, Lorenzo Bruzzone, Peter Gege:
Physics-based Bathymetry and Water Quality Retrieval Using PlanetScope Imagery: Impacts of 2020 COVID-19 Lockdown and 2019 Extreme Flood in the Venice Lagoon. Remote. Sens. 12(15): 2381 (2020) - [j230]Jianming Hu, Xiyang Zhi, Wei Zhang, Longfei Ren, Lorenzo Bruzzone:
Salient Ship Detection via Background Prior and Foreground Constraint in Remote Sensing Images. Remote. Sens. 12(20): 3370 (2020) - [j229]Milad Niroumand Jadidi, Francesca Bovolo, Lorenzo Bruzzone:
Water Quality Retrieval from PRISMA Hyperspectral Images: First Experience in a Turbid Lake and Comparison with Sentinel-2. Remote. Sens. 12(23): 3984 (2020) - [j228]Yulei Tan, Laijun Lu, Lorenzo Bruzzone, Renchu Guan, Zhiyong Chang, Chen Yang:
Hyperspectral Band Selection for Lithologic Discrimination and Geological Mapping. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 13: 471-486 (2020) - [j227]Mehdi Darvishi, Giovanni Cuozzo, Lorenzo Bruzzone, Faramarz Nilfouroushan:
Performance Evaluation of Phase and Weather-Based Models in Atmospheric Correction With Sentinel-1Data: Corvara Landslide in the Alps. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 13: 1332-1346 (2020) - [j226]Arundhati Das, Kaushal Bhardwaj, Swarnajyoti Patra, Lorenzo Bruzzone:
A Novel Threshold Detection Technique for the Automatic Construction of Attribute Profiles in Hyperspectral Images. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 13: 1374-1384 (2020) - [j225]Mehdi Darvishi, Giovanni Cuozzo, Lorenzo Bruzzone, Faramarz Nilfouroushan:
Errata to "Performance Evaluation of Phase and Weather-Based Models in Atmospheric Correction With Sentinel-1Data: Corvara Landslide in the Alps". IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 13: 1728 (2020) - [j224]Stefano Paterna, Massimo Santoni, Lorenzo Bruzzone:
An Approach Based on Multiobjective Genetic Algorithms to Schedule Observations in Planetary Remote Sensing Missions. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 13: 4714-4727 (2020) - [j223]Davide Pirrone, Francesca Bovolo, Lorenzo Bruzzone:
An Approach to Unsupervised Detection of Fully and Partially Destroyed Buildings in Multitemporal VHR SAR Images. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 13: 5938-5953 (2020) - [j222]Iwona Podsiadlo, Claudia Paris, Mattia Callegari, Carlo Marin, Daniel Günther, Ulrich Strasser, Claudia Notarnicola, Lorenzo Bruzzone:
Integrating Models and Remote Sensing Data for Distributed Glacier Mass Balance Estimation. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 13: 6177-6194 (2020) - [j221]Yao Qin, Lorenzo Bruzzone, Biao Li:
Learning Discriminative Embedding for Hyperspectral Image Clustering Based on Set-to-Set and Sample-to-Sample Distances. IEEE Trans. Geosci. Remote. Sens. 58(1): 473-485 (2020) - [j220]Yady Tatiana Solano Correa, Francesca Bovolo, Lorenzo Bruzzone, Diego Fernández-Prieto:
A Method for the Analysis of Small Crop Fields in Sentinel-2 Dense Time Series. IEEE Trans. Geosci. Remote. Sens. 58(3): 2150-2164 (2020) - [j219]Christopher Gerekos, Lorenzo Bruzzone, Masafumi Imai:
A Coherent Method for Simulating Active and Passive Radar Sounding of the Jovian Icy Moons. IEEE Trans. Geosci. Remote. Sens. 58(4): 2250-2265 (2020) - [j218]Alessandro Maffei, Juan Mario Haut, Mercedes Eugenia Paoletti, Javier Plaza, Lorenzo Bruzzone, Antonio Plaza:
A Single Model CNN for Hyperspectral Image Denoising. IEEE Trans. Geosci. Remote. Sens. 58(4): 2516-2529 (2020) - [j217]Davide Pirrone, Francesca Bovolo, Lorenzo Bruzzone:
A Novel Framework Based on Polarimetric Change Vectors for Unsupervised Multiclass Change Detection in Dual-Pol Intensity SAR Images. IEEE Trans. Geosci. Remote. Sens. 58(7): 4780-4795 (2020) - [j216]Lei Ding, Jing Zhang, Lorenzo Bruzzone:
Semantic Segmentation of Large-Size VHR Remote Sensing Images Using a Two-Stage Multiscale Training Architecture. IEEE Trans. Geosci. Remote. Sens. 58(8): 5367-5376 (2020) - [j215]Milad Niroumand Jadidi, Massimo Santoni, Lorenzo Bruzzone, Francesca Bovolo:
Snow Cover Estimation Underneath the Clouds Based on Multitemporal Correlation Analysis in Historical Time-Series Imagery. IEEE Trans. Geosci. Remote. Sens. 58(8): 5703-5714 (2020) - [j214]Akshara Preethy Byju, Begüm Demir, Lorenzo Bruzzone:
A Progressive Content-Based Image Retrieval in JPEG 2000 Compressed Remote Sensing Archives. IEEE Trans. Geosci. Remote. Sens. 58(8): 5739-5751 (2020) - [j213]Sudipan Saha, Lichao Mou, Chunping Qiu, Xiao Xiang Zhu, Francesca Bovolo, Lorenzo Bruzzone:
Unsupervised Deep Joint Segmentation of Multitemporal High-Resolution Images. IEEE Trans. Geosci. Remote. Sens. 58(12): 8780-8792 (2020) - [c199]Sudipan Saha, Lichao Mou, Chunping Qiu, Xiao Xiang Zhu, Francesca Bovolo, Lorenzo Bruzzone:
A Novel Approach to Unsupervised Segmentation of Multitemporal VHR Images based on Deep Learning. IGARSS 2020: 688-691 - [c198]Yady Tatiana Solano Correa, Daniel Carcereri, Francesca Bovolo, Lorenzo Bruzzone:
Large-Scale Precise Mapping of Agricultural Fields in Sentinel-2 Satellite Image Time Series. IGARSS 2020: 2288-2291 - [c197]Lorenzo Bruzzone, Francesca Bovolo, Sanchari Thakur, Leonardo Carrer, Elena Donini, Christopher Gerekos, Stefano Paterna, Massimo Santoni, Elisa Sbalchiero:
Envision Mission to Venus: Subsurface Radar Sounding. IGARSS 2020: 5960-5963 - [c196]Stefano Paterna, Massimo Santoni, Lorenzo Bruzzone:
An Automatic Planning and Scheduling Method Based on Multi-Objective Genetic Algorithms for Planetary Radar Sounder Observations. IGARSS 2020: 5967-5970 - [c195]Antonis Troumpoukis, Stasinos Konstantopoulos, Giannis Mouchakis, Nefeli Prokopaki-Kostopoulou, Claudia Paris, Lorenzo Bruzzone, Despina-Athanasia Pantazi, Manolis Koubarakis:
GeoFedBench: A Benchmark for Federated GeoSPARQL Query Processors. ISWC (Demos/Industry) 2020: 228-232 - [i10]Lei Ding, Lorenzo Bruzzone:
DiResNet: Direction-aware Residual Network for Road Extraction in VHR Remote Sensing Images. CoRR abs/2005.07232 (2020) - [i9]Akshara Preethy Byju, Gencer Sumbul, Begüm Demir, Lorenzo Bruzzone:
Remote Sensing Image Scene Classification with Deep Neural Networks in JPEG 2000 Compressed Domain. CoRR abs/2006.11529 (2020) - [i8]Lei Ding, Kai Zheng, Dong Lin, Yuxing Chen, Bing Liu, Jiansheng Li, Lorenzo Bruzzone:
MP-ResNet: Multi-path Residual Network for the Semantic segmentation of High-Resolution PolSAR Images. CoRR abs/2011.05088 (2020)
2010 – 2019
- 2019
- [j212]Thomas Reato, Begüm Demir, Lorenzo Bruzzone:
An Unsupervised Multicode Hashing Method for Accurate and Scalable Remote Sensing Image Retrieval. IEEE Geosci. Remote. Sens. Lett. 16(2): 276-280 (2019) - [j211]Yady Tatiana Solano Correa, Francesca Bovolo, Lorenzo Bruzzone:
An Approach to Multiple Change Detection in VHR Optical Images Based on Iterative Clustering and Adaptive Thresholding. IEEE Geosci. Remote. Sens. Lett. 16(8): 1334-1338 (2019) - [j210]Daniele Marinelli, Claudia Paris, Lorenzo Bruzzone:
An Approach to Tree Detection Based on the Fusion of Multitemporal LiDAR Data. IEEE Geosci. Remote. Sens. Lett. 16(11): 1771-1775 (2019) - [j209]Stefano Perna, Giovanni Alberti, Paolo Berardino, Lorenzo Bruzzone, Dario Califano, Ilaria Catapano, Luca Ciofaniello, Elena Donini, Carmen Esposito, Claudia Facchinetti, Roberto Formaro, Gianluca Gennarelli, Christopher Gerekos, Riccardo Lanari, Francesco Longo, Giovanni Ludeno, Mauro Mariotti d'Alessandro, Antonio Natale, Carlo Noviello, Gianfranco Palmese, Claudio Papa, Giulia Pica, Fabio Rocca, Giuseppe Salzillo, Francesco Soldovieri, Stefano Tebaldini, Sanchari Thakur:
The ASI Integrated Sounder-SAR System Operating in the UHF-VHF Bands: First Results of the 2018 Helicopter-Borne Morocco Desert Campaign. Remote. Sens. 11(16): 1845 (2019) - [j208]Ludovica De Gregorio, Daniel Günther, Mattia Callegari, Ulrich Strasser, Marc Zebisch, Lorenzo Bruzzone, Claudia Notarnicola:
Improving SWE Estimation by Fusion of Snow Models with Topographic and Remotely Sensed Data. Remote. Sens. 11(17): 2033 (2019) - [j207]Ludovica De Gregorio, Mattia Callegari, Carlo Marin, Marc Zebisch, Lorenzo Bruzzone, Begüm Demir, Ulrich Strasser, Thomas Marke, Daniel Günther, Rudi Nadalet, Claudia Notarnicola:
A Novel Data Fusion Technique for Snow Cover Retrieval. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 12(8): 2862-2877 (2019) - [j206]Sicong Liu, Qian Du, Xiaohua Tong, Alim Samat, Lorenzo Bruzzone:
Unsupervised Change Detection in Multispectral Remote Sensing Images via Spectral-Spatial Band Expansion. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 12(9): 3578-3587 (2019) - [j205]Claudia Paris, Lorenzo Bruzzone:
A Growth-Model-Driven Technique for Tree Stem Diameter Estimation by Using Airborne LiDAR Data. IEEE Trans. Geosci. Remote. Sens. 57(1): 76-92 (2019) - [j204]Lichao Mou, Lorenzo Bruzzone, Xiao Xiang Zhu:
Learning Spectral-Spatial-Temporal Features via a Recurrent Convolutional Neural Network for Change Detection in Multispectral Imagery. IEEE Trans. Geosci. Remote. Sens. 57(2): 924-935 (2019) - [j203]Aravind Harikumar, Francesca Bovolo, Lorenzo Bruzzone:
A Local Projection-Based Approach to Individual Tree Detection and 3-D Crown Delineation in Multistoried Coniferous Forests Using High-Density Airborne LiDAR Data. IEEE Trans. Geosci. Remote. Sens. 57(2): 1168-1182 (2019) - [j202]Claudia Paris, José M. Bioucas-Dias, Lorenzo Bruzzone:
A Novel Sharpening Approach for Superresolving Multiresolution Optical Images. IEEE Trans. Geosci. Remote. Sens. 57(3): 1545-1560 (2019) - [j201]Ana-Maria Ilisei, Mahdi Khodadadzadeh, Adamo Ferro, Lorenzo Bruzzone:
An Automatic Method for Subglacial Lake Detection in Ice Sheet Radar Sounder Data. IEEE Trans. Geosci. Remote. Sens. 57(6): 3252-3270 (2019) - [j200]Sudipan Saha, Francesca Bovolo, Lorenzo Bruzzone:
Unsupervised Deep Change Vector Analysis for Multiple-Change Detection in VHR Images. IEEE Trans. Geosci. Remote. Sens. 57(6): 3677-3693 (2019) - [j199]Yao Qin, Lorenzo Bruzzone, Biao Li, Yuanxin Ye:
Cross-Domain Collaborative Learning via Cluster Canonical Correlation Analysis and Random Walker for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 57(6): 3952-3966 (2019) - [j198]Claudia Paris, Lorenzo Bruzzone, Diego Fernández-Prieto:
A Novel Approach to the Unsupervised Update of Land-Cover Maps by Classification of Time Series of Multispectral Images. IEEE Trans. Geosci. Remote. Sens. 57(7): 4259-4277 (2019) - [j197]Daniele Marinelli, Francesca Bovolo, Lorenzo Bruzzone:
A Novel Change Detection Method for Multitemporal Hyperspectral Images Based on Binary Hyperspectral Change Vectors. IEEE Trans. Geosci. Remote. Sens. 57(7): 4913-4928 (2019) - [j196]Sanchari Thakur, Lorenzo Bruzzone:
An Approach to the Simulation of Radar Sounder Radargrams Based on Geological Analogs. IEEE Trans. Geosci. Remote. Sens. 57(8): 5266-5284 (2019) - [j195]Yao Qin, Lorenzo Bruzzone, Chengqiang Gao, Biao Li:
Infrared Small Target Detection Based on Facet Kernel and Random Walker. IEEE Trans. Geosci. Remote. Sens. 57(9): 7104-7118 (2019) - [j194]Yady Tatiana Solano Correa, Francesca Bovolo, Lorenzo Bruzzone:
Generation of Homogeneous VHR Time Series by Nonparametric Regression of Multisensor Bitemporal Images. IEEE Trans. Geosci. Remote. Sens. 57(10): 7579-7593 (2019) - [j193]Kaushal Bhardwaj, Swarnajyoti Patra, Lorenzo Bruzzone:
Threshold-Free Attribute Profile for Classification of Hyperspectral Images. IEEE Trans. Geosci. Remote. Sens. 57(10): 7731-7742 (2019) - [j192]Yuanxin Ye, Lorenzo Bruzzone, Jie Shan, Francesca Bovolo, Qing Zhu:
Fast and Robust Matching for Multimodal Remote Sensing Image Registration. IEEE Trans. Geosci. Remote. Sens. 57(11): 9059-9070 (2019) - [j191]Yao Qin, Lorenzo Bruzzone, Biao Li:
Tensor Alignment Based Domain Adaptation for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 57(11): 9290-9307 (2019) - [j190]Leonardo Carrer, Christopher Gerekos, Francesca Bovolo, Lorenzo Bruzzone:
Distributed Radar Sounder: A Novel Concept for Subsurface Investigations Using Sensors in Formation Flight. IEEE Trans. Geosci. Remote. Sens. 57(12): 9791-9809 (2019) - [j189]Milad Niroumand Jadidi, Francesca Bovolo, Lorenzo Bruzzone:
Novel Spectra-Derived Features for Empirical Retrieval of Water Quality Parameters: Demonstrations for OLI, MSI, and OLCI Sensors. IEEE Trans. Geosci. Remote. Sens. 57(12): 10285-10300 (2019) - [j188]Pedro G. Bascoy, Pablo Quesada-Barriuso, Dora B. Heras, Francisco Argüello, Begüm Demir, Lorenzo Bruzzone:
Extended attribute profiles on GPU applied to hyperspectral image classification. J. Supercomput. 75(3): 1565-1579 (2019) - [j187]Silvia Demetri, Gian Pietro Picco, Lorenzo Bruzzone:
LaPS: LiDAR-assisted Placement of Wireless Sensor Networks in Forests. ACM Trans. Sens. Networks 15(2): 17:1-17:40 (2019) - [c194]Manolis Koubarakis, Konstantina Bereta, Dimitris Bilidas, Konstantinos Giannousis, Theofilos Ioannidis, Despina-Athanasia Pantazi, George Stamoulis, Jim Dowling, Seif Haridi, Vladimir Vlassov, Lorenzo Bruzzone, Claudia Paris, Torbjørn Eltoft, Thomas Krämer, Angelos Charalambidis, Vangelis Karkaletsis, Stasinos Konstantopoulos, Theofilos Kakantousis, Mihai Datcu, Corneliu Octavian Dumitru, Florian Appel, Heike Bach, Silke Migdall, Nick Hughes, David Arthurs, Andrew Fleming:
From Copernicus Big Data to Extreme Earth Analytics. EDBT 2019: 690-693 - [c193]Daniele Marinelli, Claudia Paris, Lorenzo Bruzzone:
An Automatic Technique for Deciduous Trees Detection in High Density Lidar Data Based on Delaunay Triangulation. IGARSS 2019: 94-97 - [c192]Yady Tatiana Solano Correa, Francesca Bovolo, Lorenzo Bruzzone:
A Semi-Supervised Crop-Type Classification Based on Sentinel-2 NDVI Satellite Image Time Series And Phenological Parameters. IGARSS 2019: 457-460 - [c191]Elena Donini, Sanchari Thakur, Francesca Bovolo, Lorenzo Bruzzone:
Assessing the Detection Performance on Icy Targets Acquired by an Orbiting Radar Sounder. IGARSS 2019: 997-1000 - [c190]Victor-Emil Neagoe, Adrian-Dumitru Ciotec, Lorenzo Bruzzone:
A Weakly-Supervised Change Detection Technique for SAR Images Based on Deep Learning and Synthetic Training Data Generated by an Ensemble of Self-Organizing Maps. IGARSS 2019: 1669-1672 - [c189]Sanchari Thakur, Andrea Vettor, Lorenzo Bruzzone:
Analysis of Subsurface Hypotheses through Simulation of Rime Radargrams Based on Available Analogous Data. IGARSS 2019: 3546-3549 - [c188]Lorenzo Bruzzone:
Multisource Labeled Data: an Opportunity for Training Deep Learning Networks. IGARSS 2019: 4799-4802 - [c187]Sudipan Saha, Francesca Bovolo, Lorenzo Bruzzone:
Unsupervised Multiple-Change Detection in VHR Multisensor Images Via Deep-Learning Based Adaptation. IGARSS 2019: 5033-5036 - [c186]Lei Ding, Lorenzo Bruzzone:
A Deep Architecture Based on a Two-Stage Learning for Semantic Segmentation of Large-Size Remote Sensing Images. IGARSS 2019: 5228-5231 - [c185]Claudia Paris, Lorenzo Bruzzone:
Automatic Extraction of Weak Labeled Samples From Existing Thematic Products For Training Convolutional Neural Networks. IGARSS 2019: 5722-5725 - [c184]Milad Niroumand Jadidi, Massimo Santoni, Lorenzo Bruzzone, Francesca Bovolo:
A Novel Approach to Snow Coverage Retrieval Under Cloud-Obscured Pixels Based on Multitemporal Correlation. IGARSS 2019: 5730-5733 - [c183]Stefano Perna, Claudia Facchinetti, Roberto Formaro, Gianluca Gennarelli, Christopher Gerekos, Riccardo Lanari, Francesco Longo, Giovanni Ludeno, Mauro Mariotti d'Alessandro, Antonio Natale, Carlo Noviello, Giovanni Alberti, Gianfranco Palmese, Claudio Papa, Giulia Pica, Fabio Rocca, Giuseppe Salzillo, Francesco Soldovieri, Stefano Tebaldini, Sanchari Thakur, Paolo Berardino, Lorenzo Bruzzone, Dario Califano, Ilaria Catapano, Luca Ciofaniello, Elena Donini, Carmen Esposito:
The ASI P-Band Helicopter-Borne Integrated Sounder-Sar System: Preliminary Results of The 2018 Morocco Desert Campaign. IGARSS 2019: 8550-8553 - [c182]Silvia Demetri, Marco Zúñiga, Gian Pietro Picco, Fernando A. Kuipers, Lorenzo Bruzzone, Thomas Telkamp:
Automated estimation of link quality for LoRa: a remote sensing approach. IPSN 2019: 145-156 - [c181]Manuel Bertoluzza, Claudia Paris, Lorenzo Bruzzone:
A Fast Method for Cloud Removal and Image Restoration on Time Series of Multispectral Images. MultiTemp 2019: 1-4 - [c180]Sudipan Saha, Yady Tatiana Solano Correa, Francesca Bovolo, Lorenzo Bruzzone:
Unsupervised deep learning based change detection in Sentinel-2 images. MultiTemp 2019: 1-4 - [c179]Massimo Zanetti, Daniele Marinelli, Manuel Bertoluzza, Sudipan Saha, Francesca Bovolo, Lorenzo Bruzzone, Maria Lucia Magliozzi, Massimo Zavagli, Mario Costantini:
A high resolution burned area detector for Sentinel-2 and Landsat-8. MultiTemp 2019: 1-4 - [c178]Alessandro Maffei, Juan Mario Haut, Mercedes Eugenia Paoletti, Javier Plaza, Lorenzo Bruzzone, Antonio Plaza:
Efficient Convolutional Neural Network for Spectral-Spatial Hyperspectral Denoising. WHISPERS 2019: 1-4 - [i7]Lei Ding, Hao Tang, Lorenzo Bruzzone:
Improving Semantic Segmentation of Aerial Images Using Patch-based Attention. CoRR abs/1911.08877 (2019) - 2018
- [j186]Tommaso Scuccato, Leonardo Carrer, Francesca Bovolo, Lorenzo Bruzzone:
Compensating Earth Ionosphere Phase Distortion in Spaceborne VHF Radar Sounders for Subsurface Investigations. IEEE Geosci. Remote. Sens. Lett. 15(11): 1672-1676 (2018) - [j185]Mehdi Darvishi, Romy Schlögel, Lorenzo Bruzzone, Giovanni Cuozzo:
Integration of PSI, MAI, and Intensity-Based Sub-Pixel Offset Tracking Results for Landslide Monitoring with X-Band Corner Reflectors - Italian Alps (Corvara). Remote. Sens. 10(3): 409 (2018) - [j184]Yady Tatiana Solano Correa, Francesca Bovolo, Lorenzo Bruzzone:
An Approach for Unsupervised Change Detection in Multitemporal VHR Images Acquired by Different Multispectral Sensors. Remote. Sens. 10(4): 533 (2018) - [j183]Mehdi Darvishi, Romy Schlögel, Christian Kofler, Giovanni Cuozzo, Martin Rutzinger, Thomas Zieher, Isabella Toschi, Fabio Remondino, Abraham Mejia-Aguilar, Benni Thiebes, Lorenzo Bruzzone:
Sentinel-1 and Ground-Based Sensors for Continuous Monitoring of the Corvara Landslide (South Tyrol, Italy). Remote. Sens. 10(11): 1781 (2018) - [j182]Shaunak De, Lorenzo Bruzzone, Avik Bhattacharya, Francesca Bovolo, Subhasis Chaudhuri:
A Novel Technique Based on Deep Learning and a Synthetic Target Database for Classification of Urban Areas in PolSAR Data. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 11(1): 154-170 (2018) - [j181]Ana-Maria Ilisei, Lorenzo Bruzzone:
A Method for Automatic Three-Dimensional Reconstruction of Ice Sheets by Using Radar Sounder and Altimeter Data. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 11(2): 401-415 (2018) - [j180]Fadi Kizel, Jón Atli Benediktsson, Lorenzo Bruzzone, Gro B. M. Pedersen, Olga K. Vilmundardottir, Nicola Falco:
Simultaneous and Constrained Calibration of Multiple Hyperspectral Images Through a New Generalized Empirical Line Model. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 11(6): 2047-2058 (2018) - [j179]Osman Emre Dai, Begüm Demir, Bülent Sankur, Lorenzo Bruzzone:
A Novel System for Content-Based Retrieval of Single and Multi-Label High-Dimensional Remote Sensing Images. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 11(7): 2473-2490 (2018) - [j178]Hua Zhang, Lorenzo Bruzzone, Wenzhong Shi, Ming Hao, Yunjia Wang:
Enhanced Spatially Constrained Remotely Sensed Imagery Classification Using a Fuzzy Local Double Neighborhood Information C-Means Clustering Algorithm. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 11(8): 2896-2910 (2018) - [j177]Lorenzo Bruzzone, Bart Deronde, Else Swinnen:
Foreword to the Special Issue on Analysis of Multitemporal Remote Sensing Images. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 11(12): 4548-4550 (2018) - [j176]Massimo Zanetti, Lorenzo Bruzzone:
A Theoretical Framework for Change Detection Based on a Compound Multiclass Statistical Model of the Difference Image. IEEE Trans. Geosci. Remote. Sens. 56(2): 1129-1143 (2018) - [j175]Bindita Chaudhuri, Begüm Demir, Subhasis Chaudhuri, Lorenzo Bruzzone:
Multilabel Remote Sensing Image Retrieval Using a Semisupervised Graph-Theoretic Method. IEEE Trans. Geosci. Remote. Sens. 56(2): 1144-1158 (2018) - [j174]Claudia Paris, Lorenzo Bruzzone:
A Sensor-Driven Hierarchical Method for Domain Adaptation in Classification of Remote Sensing Images. IEEE Trans. Geosci. Remote. Sens. 56(3): 1308-1324 (2018) - [j173]Saeid Niazmardi, Begüm Demir, Lorenzo Bruzzone, Abdolreza Safari, Saeid Homayouni:
Multiple Kernel Learning for Remote Sensing Image Classification. IEEE Trans. Geosci. Remote. Sens. 56(3): 1425-1443 (2018) - [j172]Siyuan Hao, Wei Wang, Yuanxin Ye, Tingyuan Nie, Lorenzo Bruzzone:
Two-Stream Deep Architecture for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 56(4): 2349-2361 (2018) - [j171]Daniele Marinelli, Claudia Paris, Lorenzo Bruzzone:
A Novel Approach to 3-D Change Detection in Multitemporal LiDAR Data Acquired in Forest Areas. IEEE Trans. Geosci. Remote. Sens. 56(6): 3030-3046 (2018) - [j170]Elias Mendez Dominguez, Erich Meier, David Small, Michael E. Schaepman, Lorenzo Bruzzone, Daniel Henke:
A Multisquint Framework for Change Detection in High-Resolution Multitemporal SAR Images. IEEE Trans. Geosci. Remote. Sens. 56(6): 3611-3623 (2018) - [j169]Siyuan Hao, Wei Wang, Yuanxin Ye, Enyu Li, Lorenzo Bruzzone:
A Deep Network Architecture for Super-Resolution-Aided Hyperspectral Image Classification With Classwise Loss. IEEE Trans. Geosci. Remote. Sens. 56(8): 4650-4663 (2018) - [j168]Chen Yang, Lorenzo Bruzzone, Haishi Zhao, Yulei Tan, Renchu Guan:
Superpixel-Based Unsupervised Band Selection for Classification of Hyperspectral Images. IEEE Trans. Geosci. Remote. Sens. 56(12): 7230-7245 (2018) - [j167]Christopher Gerekos, Alessandro Tamponi, Leonardo Carrer, Davide Castelletti, Massimo Santoni, Lorenzo Bruzzone:
A Coherent Multilayer Simulator of Radargrams Acquired by Radar Sounder Instruments. IEEE Trans. Geosci. Remote. Sens. 56(12): 7388-7404 (2018) - [c177]Christopher Gerekos, Alessandro Tamponi, Leonardo Carrer, Davide Castelletti, Massimo Santoni, Lorenzo Bruzzone:
A New Technique for Simulating Radar Echoes from Layered Subsurface Targets. IGARSS 2018: 459-462 - [c176]Carlo Marin, Mattia Callegari, Claudia Notarnicola, Marc Zebisch, Daniel Günther, Thomas Marke, Ulrich Strasser, Giacomo Bertoldi, Lorenzo Bruzzone:
A Model Driven Approach for Snow Wetness Retrieval with Sentinel-l. IGARSS 2018: 1886-1889 - [c175]Sudipan Saha, Francesca Bovolo, Lorenzo Bruzzone:
Unsupervised Multiple-Change Detection in VHR Optical Images Using Deep Features. IGARSS 2018: 1902-1905 - [c174]Sicong Liu, Qian Du, Lorenzo Bruzzone, Alim Samat, Xiaohua Tong:
Unsupervised Multi-Class Change Detection in Bitemporal Multispectral Images Using Band Expansion. IGARSS 2018: 1910-1913 - [c173]Daniele Marinelli, Nicholas C. Coops, Douglas K. Bolton, Lorenzo Bruzzone:
An Unsupervised Change Detection Method for Lidar Data in Forest Areas Based on Change Vector Analysis in the Polar Domain. IGARSS 2018: 1922-1925 - [c172]Massimo Zanetti, Lorenzo Bruzzone, Diego Fernández-Prieto:
A Multivariate Change Vector Analysis System for Unsupervised Detection of Clear-Cuts in Sentinel-2 Time Series of the Indonesian Forest. IGARSS 2018: 1942-1945 - [c171]Yady Tatiana Solano Correa, Francesca Bovolo, Lorenzo Bruzzone, Diego Fernández-Prieto:
Automatic Derivation of Cropland Phenological Parameters by Adaptive Non-Parametric Regression of Sentinel-2 Ndvi Time Series. IGARSS 2018: 1946-1949 - [c170]Claudia Paris, Lorenzo Bruzzone, Diego Fernández-Prieto:
A Novel Method Based on Source Domain Understanding and Modeling to Transfer Labels from Land-Cover Vector Maps to Classifiers for Multispectral Images. IGARSS 2018: 3619-3622 - [c169]Daniele Marinelli, Claudia Paris, Lorenzo Bruzzone:
Fusion of Multitemporal LiDAR Data for Individual Tree Crown Parameter Estimation on Low Density Point Clouds. IGARSS 2018: 3999-4002 - [c168]Leonardo Carrer, Dustin M. Schroeder, Andrew Romero-Wolf, Paul A. Ries, Lorenzo Bruzzone:
Noise Character Constraints on Passive Radio Sounding of Jupiter's Icy Moons Using Jovian Decametric Radiation. IGARSS 2018: 4158-4161 - [c167]Manuel Bertoluzza, Lorenzo Bruzzone, Francesca Bovolo:
A Circular Approach to Multi-Class Change Detection in Multitemporal Sentinel-1 SAR Image Time Series. IGARSS 2018: 4201-4204 - [c166]Mattia Callegari, Carlo Marin, Daniel Günther, Philipp Rastner, Lorenzo Bruzzone, Begüm Demir, Thomas Marke, Ulrich Strasser, Marc Zebisch, Claudia Notarnicola:
Integration of Remote Sensing with A Hydroclimatological Model for an Improved Monitoring of Alpine Glaciers. IGARSS 2018: 6239-6242 - [c165]Ludovica De Gregorio, Mattia Callegari, Carlo Marin, Marc Zebisch, Lorenzo Bruzzone, Begüm Demir, Ulrich Strasser, Daniel Günther, Thomas Marke, Claudia Notarnicola:
A Novel Data Fusion Technique for Snow Parameter Retrieval. IGARSS 2018: 6247-6250 - [c164]Leonardo Carrer, Christopher Gerekos, Lorenzo Bruzzone:
Distributed Radar Sounder System: a Novel Approach to Across-Track Resolution Enhancement and Clutter Reduction. IGARSS 2018: 6765-6768 - [c163]Ana-Maria Ilisei, Mahdi Khodadadzadeh, Lorenzo Bruzzone:
Extraction of Statistical Features for Improved Automatic Detection of Subglacial Lakes in Radar Sounder Data. IGARSS 2018: 6792-6795 - [c162]Elena Donini, Francesca Bovolo, Christopher Gerekos, Leonardo Carrer, Lorenzo Bruzzone:
An Approach to Lava Tube Detection in Radar Sounder Data of the Moon. IGARSS 2018: 8424-8427 - [i6]Lichao Mou, Lorenzo Bruzzone, Xiao Xiang Zhu:
Learning Spectral-Spatial-Temporal Features via a Recurrent Convolutional Neural Network for Change Detection in Multispectral Imagery. CoRR abs/1803.02642 (2018) - [i5]Minh-Tan Pham, Sébastien Lefèvre, Erchan Aptoula, Lorenzo Bruzzone:
Recent Developments from Attribute Profiles for Remote Sensing Image Classification. CoRR abs/1803.10036 (2018) - [i4]Yuanxin Ye, Lorenzo Bruzzone, Jie Shan, Francesca Bovolo, Qing Zhu:
A Fast and Robust Matching Framework for Multimodal Remote Sensing Image Registration. CoRR abs/1808.06194 (2018) - [i3]Yao Qin, Lorenzo Bruzzone, Biao Li, Yuanxin Ye:
Tensor Alignment based Domain Adaptation for Hyperspectral Image Classification. CoRR abs/1808.09769 (2018) - [i2]Pedram Ghamisi, Behnood Rasti, Naoto Yokoya, Qunming Wang, Bernhard Höfle, Lorenzo Bruzzone, Francesca Bovolo, Mingmin Chi, Katharina Anders, Richard Gloaguen, Peter M. Atkinson, Jón Atli Benediktsson:
Multisource and Multitemporal Data Fusion in Remote Sensing. CoRR abs/1812.08287 (2018) - 2017
- [j166]Siyuan Hao, Wei Wang, Yan Yan, Lorenzo Bruzzone:
Class-wise dictionary learning for hyperspectral image classification. Neurocomputing 220: 121-129 (2017) - [j165]Chen Yang, Yulei Tan, Lorenzo Bruzzone, Laijun Lu, Renchu Guan:
Discriminative Feature Metric Learning in the Affinity Propagation Model for Band Selection in Hyperspectral Images. Remote. Sens. 9(8): 782 (2017) - [j164]Federico Di Paolo, Sebastian Emanuel Lauro, Davide Castelletti, Giuseppe Mitri, Francesca Bovolo, Barbara Cosciotti, Elisabetta Mattei, Roberto Orosei, Claudia Notarnicola, Lorenzo Bruzzone, Elena Pettinelli:
Radar Signal Penetration and Horizons Detection on Europa Through Numerical Simulations. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 10(1): 118-129 (2017) - [j163]Sicong Liu, Qian Du, Xiaohua Tong, Alim Samat, Lorenzo Bruzzone, Francesca Bovolo:
Multiscale Morphological Compressed Change Vector Analysis for Unsupervised Multiple Change Detection. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 10(9): 4124-4137 (2017) - [j162]Avik Bhattacharya, Lorenzo Bruzzone, B. S. Daya Sagar, Paul A. Rosen:
Foreword to the Special Issue on Applied Earth Observation and Remote Sensing in India. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 10(12): 5151-5154 (2017) - [j161]Swarnajyoti Patra, Kaushal Bhardwaj, Lorenzo Bruzzone:
A Spectral-Spatial Multicriteria Active Learning Technique for Hyperspectral Image Classification. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 10(12): 5213-5227 (2017) - [j160]Leonardo Carrer, Lorenzo Bruzzone:
Automatic Enhancement and Detection of Layering in Radar Sounder Data Based on a Local Scale Hidden Markov Model and the Viterbi Algorithm. IEEE Trans. Geosci. Remote. Sens. 55(2): 962-977 (2017) - [j159]Youkyung Han, Francesca Bovolo, Lorenzo Bruzzone:
Segmentation-Based Fine Registration of Very High Resolution Multitemporal Images. IEEE Trans. Geosci. Remote. Sens. 55(5): 2884-2897 (2017) - [j158]Aravind Harikumar, Francesca Bovolo, Lorenzo Bruzzone:
An Internal Crown Geometric Model for Conifer Species Classification With High-Density LiDAR Data. IEEE Trans. Geosci. Remote. Sens. 55(5): 2924-2940 (2017) - [j157]Yuanxin Ye, Jie Shan, Lorenzo Bruzzone, Li Shen:
Robust Registration of Multimodal Remote Sensing Images Based on Structural Similarity. IEEE Trans. Geosci. Remote. Sens. 55(5): 2941-2958 (2017) - [j156]Claudia Paris, David Kelbe, Jan van Aardt, Lorenzo Bruzzone:
A Novel Automatic Method for the Fusion of ALS and TLS LiDAR Data for Robust Assessment of Tree Crown Structure. IEEE Trans. Geosci. Remote. Sens. 55(7): 3679-3693 (2017) - [j155]Davide Castelletti, Dustin M. Schroeder, Scott Hensley, Cyril Grima, Gregory Ng, Duncan A. Young, Yonggyu Gim, Lorenzo Bruzzone, Alina Moussessian, Donald D. Blankenship:
An Interferometric Approach to Cross-Track Clutter Detection in Two-Channel VHF Radar Sounders. IEEE Trans. Geosci. Remote. Sens. 55(11): 6128-6140 (2017) - [j154]Gülsen Taskin Kaya, Hüseyin Kaya, Lorenzo Bruzzone:
Feature Selection Based on High Dimensional Model Representation for Hyperspectral Images. IEEE Trans. Image Process. 26(6): 2918-2928 (2017) - [j153]Massimo Zanetti, Lorenzo Bruzzone:
Piecewise Linear Approximation of Vector-Valued Images and Curves via Second-Order Variational Model. IEEE Trans. Image Process. 26(9): 4414-4429 (2017) - [c161]Daniele Marinelli, Francesca Bovolo, Lorenzo Bruzzone:
A novel change detection method for multitemporal hyperspectral images based on a discrete representation of the change information. IGARSS 2017: 161-164 - [c160]Sicong Liu, Qian Du, Xiaohua Tong, Alim Samat, Lorenzo Bruzzone, Francesca Bovolo:
A spectral-spatial multiscale approach for unsupervised multiple change detection. IGARSS 2017: 169-172 - [c159]Sicong Liu, Xiaohua Tong, Lorenzo Bruzzone, Peijun Du:
A novel semisupervised framework for multiple change detection in hyperspectral images. IGARSS 2017: 173-176 - [c158]Manuel Bertoluzza, Lorenzo Bruzzone, Francesca Bovolo:
A novel framework for bi-temporal change detection in image time series. IGARSS 2017: 1087-1090 - [c157]Osman Emre Dai, Begüm Demir, Bülent Sankur, Lorenzo Bruzzone:
A novel system for content based retrieval of multi-label remote sensing images. IGARSS 2017: 1744-1747 - [c156]Thomas Reato, Begüm Demir, Lorenzo Bruzzone:
Primitive cluster sensitive hashing for scalable content-based image retrieval in remote sensing archives. IGARSS 2017: 2199-2202 - [c155]Claudia Paris, Lorenzo Bruzzone, Diego Fernández-Prieto:
A novel automatic approach to the update of land-cover maps by unsupervised classification of remote sensing images. IGARSS 2017: 2207-2210 - [c154]Claudia Paris, José M. Bioucas-Dias, Lorenzo Bruzzone:
A hierarchical approach to superresolution of multispectral images with different spatial resolutions. IGARSS 2017: 2589-2592 - [c153]Aravind Harikumar, Francesca Bovolo, Lorenzo Bruzzone:
Subdominant tree detection in multi-layered forests by a local projection of airborne lidar data. IGARSS 2017: 2760-2763 - [c152]Mahdi Khodadadzadeh, Ana-Maria Ilisei, Lorenzo Bruzzone:
A technique based on adaptive windows for the classification of radar sounder data. IGARSS 2017: 3739-3742 - [c151]Massimo Zanetti, Lorenzo Bruzzone:
A class-wise spatial-contextual approach based on a free discontinuity model for change detection in multispectral images. IGARSS 2017: 3759-3762 - [c150]Fadi Kizel, Lorenzo Bruzzone, Jón Atli Benediktsson:
Simultaneous empirical line calibration of multiple spectral images. IGARSS 2017: 4185-4188 - [c149]Davide Pirrone, Shaunak De, Avik Bhattacharya, Lorenzo Bruzzone, Francesca Bovolo:
Unsupervised change detection in built-up areas by multi-temporal polarimetric SAR images. IGARSS 2017: 4554-4557 - [c148]Yuanxin Ye, Lorenzo Bruzzone, Jie Shan, Li Shen:
Fast and robust structure-based multimodal geospatial image matching. IGARSS 2017: 5141-5144 - [c147]Shaunak De, Davide Pirrone, Francesca Bovolo, Lorenzo Bruzzone, Avik Bhattacharya:
A novel change detection framework based on deep learning for the analysis of multi-temporal polarimetric SAR images. IGARSS 2017: 5193-5196 - [c146]Manuel Bertoluzza, Lorenzo Bruzzone, Francesca Bovolo:
Circular change detection in image time series inspired by two-dimensional phase unwrapping. MultiTemp 2017: 1-4 - [c145]Lorenzo Bruzzone, Francesca Bovolo, Claudia Paris, Yady Tatiana Solano Correa, Massimo Zanetti, Diego Fernández-Prieto:
Analysis of multitemporal Sentinel-2 images in the framework of the ESA Scientific Exploitation of Operational Missions. MultiTemp 2017: 1-4 - [c144]Yady Tatiana Solano Correa, Francesca Bovolo, Lorenzo Bruzzone, Diego Fernández-Prieto:
Spatio-temporal evolution of crop fields in Sentinel-2 Satellite Image Time Series. MultiTemp 2017: 1-4 - [c143]Daniele Marinelli, Francesca Bovolo, Lorenzo Bruzzone:
A novel method for unsupervised multiple Change Detection in hyperspectral images based on binary Spectral Change Vectors. MultiTemp 2017: 1-4 - [c142]Osman Emre Dai, Begüm Demir, Bülent Sankur, Lorenzo Bruzzone:
A novel system for content based retrieval of remote sensing images based on Bag of spectral values. SIU 2017: 1-4 - 2016
- [j152]Bindita Chaudhuri, Begüm Demir, Lorenzo Bruzzone, Subhasis Chaudhuri:
Region-Based Retrieval of Remote Sensing Images Using an Unsupervised Graph-Theoretic Approach. IEEE Geosci. Remote. Sens. Lett. 13(7): 987-991 (2016) - [j151]Youkyung Han, Francesca Bovolo, Lorenzo Bruzzone:
Edge-Based Registration-Noise Estimation in VHR Multitemporal and Multisensor Images. IEEE Geosci. Remote. Sens. Lett. 13(9): 1231-1235 (2016) - [j150]Siyuan Hao, Liguo Wang, Lorenzo Bruzzone, Qunming Wang:
Spatial-dictionary for collaborative representation classification of hyperspectral images. Multim. Tools Appl. 75(15): 9241-9254 (2016) - [j149]Chen Yang, Lorenzo Bruzzone, Haishi Zhao, Yanchun Liang, Renchu Guan:
Decorrelation-Separability-Based Affinity Propagation for Semisupervised Clustering of Hyperspectral Images. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 9(2): 568-582 (2016) - [j148]Sebastiano B. Serpico, Vito Pascazio, Lorenzo Bruzzone, Paolo Gamba:
Foreword to the Special Issue on the 2015 IEEE International Geoscience and Remote Sensing Symposium. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 9(6): 2101-2103 (2016) - [j147]Begüm Demir, Lorenzo Bruzzone:
Hashing-Based Scalable Remote Sensing Image Search and Retrieval in Large Archives. IEEE Trans. Geosci. Remote. Sens. 54(2): 892-904 (2016) - [j146]Begüm Demir, Lorenzo Bruzzone:
Histogram-Based Attribute Profiles for Classification of Very High Resolution Remote Sensing Images. IEEE Trans. Geosci. Remote. Sens. 54(4): 2096-2107 (2016) - [j145]Claudio Persello, Lorenzo Bruzzone:
Kernel-Based Domain-Invariant Feature Selection in Hyperspectral Images for Transfer Learning. IEEE Trans. Geosci. Remote. Sens. 54(5): 2615-2626 (2016) - [j144]Sicong Liu, Lorenzo Bruzzone, Francesca Bovolo, Peijun Du:
Unsupervised Multitemporal Spectral Unmixing for Detecting Multiple Changes in Hyperspectral Images. IEEE Trans. Geosci. Remote. Sens. 54(5): 2733-2748 (2016) - [j143]Claudia Paris, Davide Valduga, Lorenzo Bruzzone:
A Hierarchical Approach to Three-Dimensional Segmentation of LiDAR Data at Single-Tree Level in a Multilayered Forest. IEEE Trans. Geosci. Remote. Sens. 54(7): 4190-4203 (2016) - [j142]Davide Castelletti, Luca Pasolli, Lorenzo Bruzzone, Claudia Notarnicola, Begüm Demir:
A Novel Hybrid Method for the Correction of the Theoretical Model Inversion in Bio/Geophysical Parameter Estimation. IEEE Trans. Geosci. Remote. Sens. 54(8): 4764-4774 (2016) - [j141]Pritam Bose, Nikola K. Kasabov, Lorenzo Bruzzone, Reggio N. Hartono:
Spiking Neural Networks for Crop Yield Estimation Based on Spatiotemporal Analysis of Image Time Series. IEEE Trans. Geosci. Remote. Sens. 54(11): 6563-6573 (2016) - [j140]Ting Lu, Shutao Li, Leyuan Fang, Lorenzo Bruzzone, Jón Atli Benediktsson:
Set-to-Set Distance-Based Spectral-Spatial Classification of Hyperspectral Images. IEEE Trans. Geosci. Remote. Sens. 54(12): 7122-7134 (2016) - [c141]Aravind Harikumar, Francesca Bovolo, Lorenzo Bruzzone:
An approach to conifer species classification based on crown structure modeling in high density airborne LiDAR data. IGARSS 2016: 1480-1483 - [c140]Saeid Niazmardi, Begüm Demir, Lorenzo Bruzzone, Abdolreza Safari, Saeid Homayouni:
A comparative study on Multiple Kernel Learning for remote sensing image classification. IGARSS 2016: 1512-1515 - [c139]Rocchina Guarini, Lorenzo Bruzzone, Massimo Santoni, Francesco Vuolo, Luigi Dini:
Analysis of the potentiality of multi-temporal COSMO-SkyMed ® data for classifying summer crops. IGARSS 2016: 3170-3173 - [c138]Mahdi Khodadadzadeh, Lorenzo Bruzzone, Jun Li, Antonio J. Plaza:
A Gaussian approach to subspace based classification of hyperspectral images. IGARSS 2016: 3278-3281 - [c137]Romano Battiti, Begüm Demir, Lorenzo Bruzzone:
Quad-tree based compressed histogram attribute profiles for classification of very high resolution images. IGARSS 2016: 3330-3333 - [c136]Massimo Zanetti, Lorenzo Bruzzone:
A generalized statistical model for binary change detection in multispectral images. IGARSS 2016: 3378-3381 - [c135]Daniele Marinelli, Claudia Paris, Lorenzo Bruzzone:
Fusion of high and very high density LiDAR data for 3D forest change detection. IGARSS 2016: 3595-3598 - [c134]Yady Tatiana Solano Correa, Francesca Bovolo, Lorenzo Bruzzone:
An approach to multiple Change Detection in multisensor VHR optical images based on iterative clustering. IGARSS 2016: 5149-5152 - [c133]Massimo Zanetti, Riccardo Zanella, Lorenzo Bruzzone:
A tiling procedure for second-order variational segmentation of large size remote sensing images. IGARSS 2016: 6902-6905 - [c132]Claudia Paris, Lorenzo Bruzzone:
A data-driven identification of growth-model classes for the adaptive estimation of single-tree stem diameter in LiDAR data. IGARSS 2016: 6918-6921 - [c131]Fatih Ömrüuzun, Begüm Demir, Lorenzo Bruzzone, Yasemin Yardimci Çetin:
A novel content based hyperspectral image retrieval system based on bag of end members. SIU 2016: 1465-1468 - [c130]Fatih Ömrüuzun, Begüm Demir, Lorenzo Bruzzone, Yasemin Yardimci Çetin:
Content based hyperspectral image retrieval using bag of endmembers image descriptors. WHISPERS 2016: 1-4 - 2015
- [j139]Biplab Banerjee, Francesca Bovolo, Avik Bhattacharya, Lorenzo Bruzzone, Subhasis Chaudhuri, B. Krishna Mohan:
A New Self-Training-Based Unsupervised Satellite Image Classification Technique Using Cluster Ensemble Strategy. IEEE Geosci. Remote. Sens. Lett. 12(4): 741-745 (2015) - [j138]Gabriele Cavallaro, Mauro Dalla Mura, Jón Atli Benediktsson, Lorenzo Bruzzone:
Extended Self-Dual Attribute Profiles for the Classification of Hyperspectral Images. IEEE Geosci. Remote. Sens. Lett. 12(8): 1690-1694 (2015) - [j137]Luca Pasolli, Claudia Notarnicola, Giacomo Bertoldi, Lorenzo Bruzzone, Ruben Remelgado, Felix Greifeneder, Georg Niedrist, Stefano Della Chiesa, Ulrike Tappeiner, Marc Zebisch:
Estimation of Soil Moisture in Mountain Areas Using SVR Technique Applied to Multiscale Active Radar Images at C-Band. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 8(1): 262-283 (2015) - [j136]Sicong Liu, Lorenzo Bruzzone, Francesca Bovolo, Peijun Du:
Hierarchical Unsupervised Change Detection in Multitemporal Hyperspectral Images. IEEE Trans. Geosci. Remote. Sens. 53(1): 244-260 (2015) - [j135]Claudia Paris, Lorenzo Bruzzone:
A Three-Dimensional Model-Based Approach to the Estimation of the Tree Top Height by Fusing Low-Density LiDAR Data and Very High Resolution Optical Images. IEEE Trans. Geosci. Remote. Sens. 53(1): 467-480 (2015) - [j134]Begüm Demir, Lorenzo Bruzzone:
A Novel Active Learning Method in Relevance Feedback for Content-Based Remote Sensing Image Retrieval. IEEE Trans. Geosci. Remote. Sens. 53(5): 2323-2334 (2015) - [j133]Carlo Marin, Francesca Bovolo, Lorenzo Bruzzone:
Building Change Detection in Multitemporal Very High Resolution SAR Images. IEEE Trans. Geosci. Remote. Sens. 53(5): 2664-2682 (2015) - [j132]Ana-Maria Ilisei, Lorenzo Bruzzone:
A System for the Automatic Classification of Ice Sheet Subsurface Targets in Radar Sounder Data. IEEE Trans. Geosci. Remote. Sens. 53(6): 3260-3277 (2015) - [j131]Giona Matasci, Michele Volpi, Mikhail F. Kanevski, Lorenzo Bruzzone, Devis Tuia:
Semisupervised Transfer Component Analysis for Domain Adaptation in Remote Sensing Image Classification. IEEE Trans. Geosci. Remote. Sens. 53(7): 3550-3564 (2015) - [j130]Daniel Capella Zanotta, Lorenzo Bruzzone, Francesca Bovolo, Yosio Edemir Shimabukuro:
An Adaptive Semisupervised Approach to the Detection of User-Defined Recurrent Changes in Image Time Series. IEEE Trans. Geosci. Remote. Sens. 53(7): 3707-3719 (2015) - [j129]Biplab Banerjee, Francesca Bovolo, Avik Bhattacharya, Lorenzo Bruzzone, Subhasis Chaudhuri, Krishna Mohan Buddhiraju:
A Novel Graph-Matching-Based Approach for Domain Adaptation in Classification of Remote Sensing Image Pair. IEEE Trans. Geosci. Remote. Sens. 53(7): 4045-4062 (2015) - [j128]Sicong Liu, Lorenzo Bruzzone, Francesca Bovolo, Massimo Zanetti, Peijun Du:
Sequential Spectral Change Vector Analysis for Iteratively Discovering and Detecting Multiple Changes in Hyperspectral Images. IEEE Trans. Geosci. Remote. Sens. 53(8): 4363-4378 (2015) - [j127]Swarnajyoti Patra, Prahlad Modi, Lorenzo Bruzzone:
Hyperspectral Band Selection Based on Rough Set. IEEE Trans. Geosci. Remote. Sens. 53(10): 5495-5503 (2015) - [j126]Nicola Falco, Jón Atli Benediktsson, Lorenzo Bruzzone:
Spectral and Spatial Classification of Hyperspectral Images Based on ICA and Reduced Morphological Attribute Profiles. IEEE Trans. Geosci. Remote. Sens. 53(11): 6223-6240 (2015) - [j125]Youkyung Han, Francesca Bovolo, Lorenzo Bruzzone:
An Approach to Fine Coregistration Between Very High Resolution Multispectral Images Based on Registration Noise Distribution. IEEE Trans. Geosci. Remote. Sens. 53(12): 6650-6662 (2015) - [j124]Massimo Zanetti, Francesca Bovolo, Lorenzo Bruzzone:
Rayleigh-Rice Mixture Parameter Estimation via EM Algorithm for Change Detection in Multispectral Images. IEEE Trans. Image Process. 24(12): 5004-5016 (2015) - [c129]Silvia Demetri, Gian Pietro Picco, Lorenzo Bruzzone:
Estimating Low-Power Radio Signal Attenuation in Forests: A LiDAR-Based Approach. DCOSS 2015: 71-80 - [c128]Claudia Paris, David Kelbe, Jan van Aardt, Lorenzo Bruzzone:
A precise estimation of the 3D structure of the forest based on the fusion of airborne and terrestrial lidar data. IGARSS 2015: 49-52 - [c127]Claudia Paris, Davide Valduga, Lorenzo Bruzzone:
A hierarchical approach to the segmentation of single dominant and dominated trees in forest areas by using high-density LiDAR data. IGARSS 2015: 65-68 - [c126]Swarnajyoti Patra, Lorenzo Bruzzone:
A rough set based band selection technique for the analysis of hyperspectral images. IGARSS 2015: 497-500 - [c125]Davide Castelletti, Dustin M. Schroeder, Scott Hensley, Cyril Grima, Gregory Ng, Duncan A. Young, Yonggyu Gim, Lorenzo Bruzzone, Alina Moussessian, Donald D. Blankenship:
Clutter detection using two-channel radar sounder data. IGARSS 2015: 1052-1055 - [c124]Leonardo Carrer, Renato Croci, Lorenzo Bruzzone:
A robust on-board tracking technique for spaceborne radar sounders. IGARSS 2015: 1064-1067 - [c123]Gülsen Taskin Kaya, Hüseyin Kaya, Lorenzo Bruzzone:
A novel method for feature selection with random sampling HDMR and its application to hyperspectral image classification. IGARSS 2015: 1108-1111 - [c122]Lorenzo Bruzzone, Jeffrey J. Plaut, Giovanni Alberti, Donald D. Blankenship, Francesca Bovolo, Bruce A. Campbell, Davide Castelletti, Yonggyu Gim, Ana-Maria Ilisei, Wlodek Kofman, Goro Komatsu, William McKinnon, Giuseppe Mitri, Alina Moussessian, Claudia Notarnicola, Roberto Orosei, G. Wesley Patterson, Elena Pettinelli, Dirk Plettemeier:
Jupiter ICY moon explorer (JUICE): Advances in the design of the radar for Icy Moons (RIME). IGARSS 2015: 1257-1260 - [c121]Begüm Demir, Lorenzo Bruzzone:
Fast and accurate image classification with histogram based features and additive kernel SVM. IGARSS 2015: 2350-2353 - [c120]Begüm Demir, Lorenzo Bruzzone:
Histogram based attribute profiles for classification of very high resolution remote sensing images. IGARSS 2015: 2393-2396 - [c119]Francesca Bovolo, Begüm Demir, Lorenzo Bruzzone:
A cluster-based appraoch to content based time series retrieval (CBTSR). IGARSS 2015: 2793-2796 - [c118]Yady Tatiana Solano Correa, Francesca Bovolo, Lorenzo Bruzzone:
VHR time-series generation by prediction and fusion of multi-sensor images. IGARSS 2015: 3298-3301 - [c117]Simonetta Paloscia, Simone Pettinato, Emanuele Santi, Claudia Notarnicola, Felix Greifeneder, Giovanni Cuozzo, Irene Nicolini, Begüm Demir, Lorenzo Bruzzone:
An analysis of the capabilities of COSMO-SKYMED and RADARSAT systems for agricultural area monitoring. IGARSS 2015: 4137-4140 - [c116]Sicong Liu, Lorenzo Bruzzone, Francesca Bovolo, Peijun Du:
Multitemporal spectral unmixing for change detection in hyperspectral images. IGARSS 2015: 4165-4168 - [c115]Youkyung Han, Francesca Bovolo, Lorenzo Bruzzone:
Precise co-registration of very high resolution optical images by registration-noise estimation. IGARSS 2015: 4232-4235 - [c114]Jiming Li, Lorenzo Bruzzone, Sicong Liu:
Deep feature representation for hyperspectral image classification. IGARSS 2015: 4951-4954 - [c113]Ana-Maria Ilisei, Lorenzo Bruzzone:
Integration of radar sounder and altimeter data for the 3D reconstruction of ice sheets. IGARSS 2015: 5224-5227 - [c112]Gabriele Cavallaro, Nicola Falco, Mauro Dalla Mura, Lorenzo Bruzzone, Jón Atli Benediktsson:
Automatic Threshold Selection for Profiles of Attribute Filters Based on Granulometric Characteristic Functions. ISMM 2015: 169-181 - [c111]Youkyung Han, Francesca Bovolo, Lorenzo Bruzzone:
Fine co-registration of VHR images for multitemporal Urban area analysis. MultiTemp 2015: 1-4 - [c110]Simonetta Paloscia, Simone Pettinato, Emanuele Santi, Claudia Notarnicola, Felix Greifeneder, Giovanni Cuozzo, Irene Nicolini, Begüm Demir, Lorenzo Bruzzone:
Cosmo-SkyMed and RADARSAT2 image investigation for the monitoring of agricultural areas. SAR 2015: 964206 - [c109]Begüm Demir, Lorenzo Bruzzone:
A novel active learning method for content based remote sensing image retrieval. SIU 2015: 2130-2133 - 2014
- [j123]Begüm Demir, Luca Minello, Lorenzo Bruzzone:
An Effective Strategy to Reduce the Labeling Cost in the Definition of Training Sets by Active Learning. IEEE Geosci. Remote. Sens. Lett. 11(1): 79-83 (2014) - [j122]Ana-Maria Ilisei, Lorenzo Bruzzone:
A Model-Based Technique for the Automatic Detection of Earth Continental Ice Subsurface Targets in Radar Sounder Data. IEEE Geosci. Remote. Sens. Lett. 11(11): 1911-1915 (2014) - [j121]Begüm Demir, Lorenzo Bruzzone:
A multiple criteria active learning method for support vector regression. Pattern Recognit. 47(7): 2558-2567 (2014) - [j120]Anshu Singla, Swarnajyoti Patra, Lorenzo Bruzzone:
A novel classification technique based on progressive transductive SVM learning. Pattern Recognit. Lett. 42: 101-106 (2014) - [j119]Na Li, Lorenzo Bruzzone, Zengping Chen, Fang Liu:
A Novel Technique Based on the Combination of Labeled Co-Occurrence Matrix and Variogram for the Detection of Built-up Areas in High-Resolution SAR Images. Remote. Sens. 6(5): 3857-3878 (2014) - [j118]Gustavo Camps-Valls, Devis Tuia, Lorenzo Bruzzone, Jón Atli Benediktsson:
Advances in Hyperspectral Image Classification: Earth Monitoring with Statistical Learning Methods. IEEE Signal Process. Mag. 31(1): 45-54 (2014) - [j117]Nicola Falco, Jón Atli Benediktsson, Lorenzo Bruzzone:
A Study on the Effectiveness of Different Independent Component Analysis Algorithms for Hyperspectral Image Classification. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 7(6): 2183-2199 (2014) - [j116]Victor-Emil Neagoe, Radu-Mihai Stoica, Alexandru-Ioan Ciurea, Lorenzo Bruzzone, Francesca Bovolo:
Concurrent Self-Organizing Maps for Supervised/Unsupervised Change Detection in Remote Sensing Images. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 7(8): 3525-3533 (2014) - [j115]Qian Du, Eckart Michaelsen, Peijun Du, Lorenzo Bruzzone, Xiaohua Tong, Uwe Stilla:
Foreword to the Special Issue on Pattern Recognition in Remote Sensing. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 7(12): 4615-4619 (2014) - [j114]Begüm Demir, Luca Minello, Lorenzo Bruzzone:
Definition of Effective Training Sets for Supervised Classification of Remote Sensing Images by a Novel Cost-Sensitive Active Learning Method. IEEE Trans. Geosci. Remote. Sens. 52(2): 1272-1284 (2014) - [j113]Emma Izquierdo-Verdiguier, Luis Gómez-Chova, Lorenzo Bruzzone, Gustavo Camps-Valls:
Semisupervised Kernel Feature Extraction for Remote Sensing Image Analysis. IEEE Trans. Geosci. Remote. Sens. 52(9): 5567-5578 (2014) - [j112]Swarnajyoti Patra, Lorenzo Bruzzone:
A Novel SOM-SVM-Based Active Learning Technique for Remote Sensing Image Classification. IEEE Trans. Geosci. Remote. Sens. 52(11): 6899-6910 (2014) - [j111]Claudio Persello, Lorenzo Bruzzone:
Active and Semisupervised Learning for the Classification of Remote Sensing Images. IEEE Trans. Geosci. Remote. Sens. 52(11): 6937-6956 (2014) - [c108]Claudia Paris, Lorenzo Bruzzone:
A sensor-driven domain adaptation method for the classification of remote sensing images. IGARSS 2014: 185-188 - [c107]Lorenzo Bruzzone, Francesca Bovolo:
A novel circular approach to change detection in pair of images extracted from image time series. IGARSS 2014: 1140-1143 - [c106]Claudia Notarnicola, Luca Pasolli, Giovanni Cuozzo, Felix Greifeneder, Giacomo Bertoldi, Stefano Della Chiesa, Georg Niedrist, Davide Castelletti, Ulrike Tappeiner, Lorenzo Bruzzone, Marc Zebisch:
Temporal and spatial soil moisture dynamics in mountain meadows by integrating Radarsat 2 images and ground data. IGARSS 2014: 1222-1225 - [c105]Gabriele Cavallaro, Mauro Dalla Mura, Jón Atli Benediktsson, Lorenzo Bruzzone:
A comparison of self-dual attribute profiles based on different filter rules for classification. IGARSS 2014: 1265-1268 - [c104]Daniel C. Zanotta, Lorenzo Bruzzone, Francesca Bovolo:
Detection of specific changes in image time series by an adaptive change vector analysis. IGARSS 2014: 1285-1288 - [c103]Victor-Emil Neagoe, Alexandru-Ioan Ciurea, Lorenzo Bruzzone, Francesca Bovolo:
A novel neural approach for unsupervised change detection using SOM clustering for pseudo-training set selection followed by CSOM classifier. IGARSS 2014: 1437-1440 - [c102]Carlo Marin, Francesca Bovolo, Lorenzo Bruzzone:
Rapid and accurate damage detection in built-up areas combining stripmap and spotlight SAR images. IGARSS 2014: 2359-2362 - [c101]Nicola Falco, Lorenzo Bruzzone, Jón Atli Benediktsson:
An ICA based approach to hyperspectral image feature reduction. IGARSS 2014: 3470-3473 - [c100]Begüm Demir, Lorenzo Bruzzone:
Kernel-based hashing for content-based image retrval in large remote sensing data archive. IGARSS 2014: 3542-3545 - [c99]Claudio Persello, Lorenzo Bruzzone:
Relevant and invariant feature selection of hyperspectral images for domain generalization. IGARSS 2014: 3562-3565 - [c98]Sicong Liu, Lorenzo Bruzzone, Francesca Bovolo, Peijun Du:
A novel sequential spectral change vector analysis for representing and detecting multiple changes in hyperspectral images. IGARSS 2014: 4656-4659 - [c97]Begüm Demir, Lorenzo Bruzzone:
Biophysical parameters estimation from remotely sensed images by a multiple criteria active learning method. SIU 2014: 1979-1982 - 2013
- [j110]Michele Volpi, Devis Tuia, Francesca Bovolo, Mikhail F. Kanevski, Lorenzo Bruzzone:
Supervised change detection in VHR images using contextual information and support vector machines. Int. J. Appl. Earth Obs. Geoinformation 20: 77-85 (2013) - [j109]Prashanth Reddy Marpu, Mattia Pedergnana, Mauro Dalla Mura, Jón Atli Benediktsson, Lorenzo Bruzzone:
Automatic Generation of Standard Deviation Attribute Profiles for Spectral-Spatial Classification of Remote Sensing Data. IEEE Geosci. Remote. Sens. Lett. 10(2): 293-297 (2013) - [j108]Nicola Falco, Mauro Dalla Mura, Francesca Bovolo, Jón Atli Benediktsson, Lorenzo Bruzzone:
Change Detection in VHR Images Based on Morphological Attribute Profiles. IEEE Geosci. Remote. Sens. Lett. 10(3): 636-640 (2013) - [j107]Chen Yang, Sicong Liu, Lorenzo Bruzzone, Renchu Guan, Peijun Du:
A Feature-Metric-Based Affinity Propagation Technique for Feature Selection in Hyperspectral Image Classification. IEEE Geosci. Remote. Sens. Lett. 10(5): 1152-1156 (2013) - [j106]Lorenzo Bruzzone, Francesca Bovolo:
A Novel Framework for the Design of Change-Detection Systems for Very-High-Resolution Remote Sensing Images. Proc. IEEE 101(3): 609-630 (2013) - [j105]Begüm Demir, Francesca Bovolo, Lorenzo Bruzzone:
Updating Land-Cover Maps by Classification of Image Time Series: A Novel Change-Detection-Driven Transfer Learning Approach. IEEE Trans. Geosci. Remote. Sens. 51(1): 300-312 (2013) - [j104]Adamo Ferro, Dominik Brunner, Lorenzo Bruzzone:
Automatic Detection and Reconstruction of Building Radar Footprints From Single VHR SAR Images. IEEE Trans. Geosci. Remote. Sens. 51(2): 935-952 (2013) - [j103]Adamo Ferro, Lorenzo Bruzzone:
Automatic Extraction and Analysis of Ice Layering in Radar Sounder Data. IEEE Trans. Geosci. Remote. Sens. 51(3-2): 1622-1634 (2013) - [j102]Chen Yang, Lorenzo Bruzzone, Renchu Guan, Laijun Lu, Yanchun Liang:
Incremental and Decremental Affinity Propagation for Semisupervised Clustering in Multispectral Images. IEEE Trans. Geosci. Remote. Sens. 51(3-2): 1666-1679 (2013) - [j101]Francesca Bovolo, Carlo Marin, Lorenzo Bruzzone:
A Hierarchical Approach to Change Detection in Very High Resolution SAR Images for Surveillance Applications. IEEE Trans. Geosci. Remote. Sens. 51(4-1): 2042-2054 (2013) - [j100]Adamo Ferro, Alain Pascal, Lorenzo Bruzzone:
A Novel Technique for the Automatic Detection of Surface Clutter Returns in Radar Sounder Data. IEEE Trans. Geosci. Remote. Sens. 51(5-2): 3037-3055 (2013) - [j99]Mattia Pedergnana, Prashanth Reddy Marpu, Mauro Dalla Mura, Jón Atli Benediktsson, Lorenzo Bruzzone:
A Novel Technique for Optimal Feature Selection in Attribute Profiles Based on Genetic Algorithms. IEEE Trans. Geosci. Remote. Sens. 51(6-2): 3514-3528 (2013) - [j98]Ashish Ghosh, Badri Narayan Subudhi, Lorenzo Bruzzone:
Integration of Gibbs Markov Random Field and Hopfield-Type Neural Networks for Unsupervised Change Detection in Remotely Sensed Multitemporal Images. IEEE Trans. Image Process. 22(8): 3087-3096 (2013) - [j97]Begüm Demir, Francesca Bovolo, Lorenzo Bruzzone:
Classification of Time Series of Multispectral Images With Limited Training Data. IEEE Trans. Image Process. 22(8): 3219-3233 (2013) - [c96]Giona Matasci, Lorenzo Bruzzone, Michele Volpi, Devis Tuia, Mikhail F. Kanevski:
Investigating Feature Extraction for Domain Adaptation in Remote Sensing Image Classification. ICPRAM 2013: 419-424 - [c95]Sicong Liu, Lorenzo Bruzzone, Francesca Bovolo, Peijun Du:
A novel hierarchical method for change detection in multitemporal hyperspectral images. IGARSS 2013: 823-826 - [c94]Carlo Marin, Francesca Bovolo, Lorenzo Bruzzone:
A novel multitemporal detector for primitive extraction from VHR SAR images. IGARSS 2013: 1991-1994 - [c93]Claudia Paris, Lorenzo Bruzzone:
A novel technique for tree stem height estimation by fusing low density LiDAR data and optical images. IGARSS 2013: 3022-3025 - [c92]Carlo Marin, Francesca Bovolo, Lorenzo Bruzzone:
Detection of changed buildings in multitemporal Very High Resolution SAR images. IGARSS 2013: 3443-3446 - [c91]Francesca Bovolo, Lorenzo Bruzzone:
A 4-dimensional approach to image time series visualization and analysis. IGARSS 2013: 3467-3470 - [c90]Ana-Maria Ilisei, Lorenzo Bruzzone:
Automatic classification of subsurface features in radar sounder data acquired in icy areas. IGARSS 2013: 3530-3533 - [c89]Lorenzo Bruzzone, Jeffrey J. Plaut, Giovanni Alberti, Donald D. Blankenship, Francesca Bovolo, Bruce A. Campbell, Adamo Ferro, Yonggyu Gim, Wlodek Kofman, Goro Komatsu, William McKinnon, Giuseppe Mitri, Roberto Orosei, G. Wesley Patterson, Dirk Plettemeier, Roberto Seu:
RIME: Radar for Icy Moon Exploration. IGARSS 2013: 3907-3910 - [c88]Begüm Demir, Francesca Bovolo, Lorenzo Bruzzone:
Sequential cascade classification of image time series by exploiting multiple pairwise change detection. IGARSS 2013: 3946-3949 - [c87]Begüm Demir, Lorenzo Bruzzone:
An effective active learning method for interactive content-based retrieval in remote sensing images. IGARSS 2013: 4356-4359 - [c86]Nicola Falco, Lorenzo Bruzzone, Jón Atli Benediktsson:
A comparative study of different ICA algorithms for hyperspectral image analysis. WHISPERS 2013: 1-4 - [i1]Gustavo Camps-Valls, Devis Tuia, Lorenzo Bruzzone, Jón Atli Benediktsson:
Advances in Hyperspectral Image Classification: Earth monitoring with statistical learning methods. CoRR abs/1310.5107 (2013) - 2012
- [j96]Mattia Pedergnana, Prashanth Reddy Marpu, Mauro Dalla Mura, Jón Atli Benediktsson, Lorenzo Bruzzone:
Classification of Remote Sensing Optical and LiDAR Data Using Extended Attribute Profiles. IEEE J. Sel. Top. Signal Process. 6(7): 856-865 (2012) - [j95]Swarnajyoti Patra, Lorenzo Bruzzone:
A Batch-Mode Active Learning Technique Based on Multiple Uncertainty for SVM Classifier. IEEE Geosci. Remote. Sens. Lett. 9(3): 497-501 (2012) - [j94]Swarnajyoti Patra, Lorenzo Bruzzone:
A cluster-assumption based batch mode active learning technique. Pattern Recognit. Lett. 33(9): 1042-1048 (2012) - [j93]Giorgio A. Licciardi, Alberto Villa, Mauro Dalla Mura, Lorenzo Bruzzone, Jocelyn Chanussot, Jón Atli Benediktsson:
Retrieval of the Height of Buildings From WorldView-2 Multi-Angular Imagery Using Attribute Filters and Geometric Invariant Moments. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 5(1): 71-79 (2012) - [j92]Luca Pasolli, Claudia Notarnicola, Lorenzo Bruzzone:
Multi-Objective Parameter Optimization in Support Vector Regression: General Formulation and Application to the Retrieval of Soil Moisture From Remote Sensing Data. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 5(5): 1495-1508 (2012) - [j91]Begüm Demir, Francesca Bovolo, Lorenzo Bruzzone:
Detection of Land-Cover Transitions in Multitemporal Remote Sensing Images With Active-Learning-Based Compound Classification. IEEE Trans. Geosci. Remote. Sens. 50(5-2): 1930-1941 (2012) - [j90]Francesca Bovolo, Silvia Marchesi, Lorenzo Bruzzone:
A Framework for Automatic and Unsupervised Detection of Multiple Changes in Multitemporal Images. IEEE Trans. Geosci. Remote. Sens. 50(6): 2196-2212 (2012) - [j89]Kanchan Bahirat, Francesca Bovolo, Lorenzo Bruzzone, Subhasis Chaudhuri:
A Novel Domain Adaptation Bayesian Classifier for Updating Land-Cover Maps With Class Differences in Source and Target Domains. IEEE Trans. Geosci. Remote. Sens. 50(7): 2810-2826 (2012) - [j88]Adamo Ferro, Lorenzo Bruzzone:
Analysis of Radar Sounder Signals for the Automatic Detection and Characterization of Subsurface Features. IEEE Trans. Geosci. Remote. Sens. 50(11): 4333-4348 (2012) - [j87]Claudio Persello, Lorenzo Bruzzone:
Active Learning for Domain Adaptation in the Supervised Classification of Remote Sensing Images. IEEE Trans. Geosci. Remote. Sens. 50(11): 4468-4483 (2012) - [c85]Mattia Pedergnana, Prashanth Reddy Marpu, Mauro Dalla Mura, Jón Atli Benediktsson, Lorenzo Bruzzone:
A novel supervised feature selection technique based on genetic algorithms. IGARSS 2012: 60-63 - [c84]Begüm Demir, Francesca Bovolo, Lorenzo Bruzzone:
A novel system for classification of image time series with limited ground reference data. IGARSS 2012: 158-161 - [c83]Emma Izquierdo-Verdiguier, Luis Gómez-Chova, Lorenzo Bruzzone, Gustavo Camps-Valls:
Semisupervised nonlinear feature extraction for image classification. IGARSS 2012: 1525-1528 - [c82]Begüm Demir, Luca Minello, Lorenzo Bruzzone:
A cost-sensitive active learning technique for the definition of effective training sets for supervised classifiers. IGARSS 2012: 1781-1784 - [c81]Francesca Bovolo, Carlo Marin, Lorenzo Bruzzone:
A novel hierarchical approach to change detection with very high resolution SAR images for surveillance applications. IGARSS 2012: 1992-1995 - [c80]Peijun Du, Sicong Liu, Lorenzo Bruzzone, Francesca Bovolo:
Target-driven change detection based on data transformation and similarity measures. IGARSS 2012: 2016-2019 - [c79]Adamo Ferro, Alain Pascal, Lorenzo Bruzzone:
A novel method for automatic clutter detection in radargrams acquired by orbiting radar sounders. IGARSS 2012: 3210-3213 - [c78]Ana-Maria Ilisei, Adamo Ferro, Lorenzo Bruzzone:
A technique for the automatic estimation of ice thickness and bedrock properties from radar sounder data acquired at Antarctica. IGARSS 2012: 4457-4460 - [c77]Sebastiano B. Serpico, Lorenzo Bruzzone, Giovanni Corsini, William J. Emery, Paolo Gamba, Andrea Garzelli, Grégoire Mercier, Josiane Zerubia, Nicola Acito, Bruno Aiazzi, Francesca Bovolo, Fabio Dell'Acqua, Michaela De Martino, Marco Diani, Vladimir A. Krylov, Gianni Lisini, Carlo Marin, Gabriele Moser, Aurélie Voisin, Claudia Zoppetti:
Development and validation of multitemporal image analysis methodologies for multirisk monitoring of critical structures and infrastructures. IGARSS 2012: 5506-5509 - [c76]Swarnajyoti Patra, Lorenzo Bruzzone:
A novel SOM-based active learning technique for classification of remote sensing images with SVM. IGARSS 2012: 6879-6882 - [c75]Luca Pasolli, Mattia Callegari, Claudia Notarnicola, Lorenzo Bruzzone, Marc Zebisch:
Integration of X-band SAR and optical thermal data for retrieving snowpack parameters in mountain areas. IGARSS 2012: 7035-7038 - [c74]Mirco Furlani, Devis Tuia, Jordi Muñoz-Marí, Francesca Bovolo, Gustavo Camps-Valls, Lorenzo Bruzzone:
Discovering single classes in remote sensing images with active learning. IGARSS 2012: 7341-7344 - [c73]Luca Pasolli, Claudia Notarnicola, Lorenzo Bruzzone, Giacomo Bertoldi, Marc Zebisch:
Mapping spatial and temporal patterns of soil moisture with ASAR imagery in the Alps. SAR 2012: 85360M - [c72]Begüm Demir, Francesca Bovolo, Lorenzo Bruzzone:
Low-cost updating of land-cover maps by classifiying multitemporal remote sensing images. SIU 2012: 1-4 - [c71]Begüm Demir, Luca Minello, Lorenzo Bruzzone:
A genetic algorithm based cost-sensitive active learning technique for classification of remote sensing images. TyWRRS 2012: 153-158 - [c70]Francesca Bovolo, Carlo Marin, Lorenzo Bruzzone:
Freight traffic surveillance in VHR SAR images by multiscale information extraction. TyWRRS 2012: 164-171 - [c69]Sicong Liu, Lorenzo Bruzzone, Francesca Bovolo, Peijun Du:
Unsupervised hierarchical spectral analysis for change detection in hyperspectral images. WHISPERS 2012: 1-4 - [c68]Chen Yang, Sicong Liu, Lorenzo Bruzzone, Renchu Guan, Peijun Du:
A semisupervised feature metric based band selection method for hyperspectral image classification. WHISPERS 2012: 1-4 - 2011
- [j86]Gustavo Camps-Valls, Jón Atli Benediktsson, Lorenzo Bruzzone, Jocelyn Chanussot:
Introduction to the Issue on Advances in Remote Sensing Image Processing. IEEE J. Sel. Top. Signal Process. 5(3): 365-369 (2011) - [j85]Dominik Brunner, Guido Lemoine, Harm Greidanus, Lorenzo Bruzzone:
Radar Imaging Simulation for Urban Structures. IEEE Geosci. Remote. Sens. Lett. 8(1): 68-72 (2011) - [j84]Mauro Dalla Mura, Alberto Villa, Jón Atli Benediktsson, Jocelyn Chanussot, Lorenzo Bruzzone:
Classification of Hyperspectral Images by Using Extended Morphological Attribute Profiles and Independent Component Analysis. IEEE Geosci. Remote. Sens. Lett. 8(3): 542-546 (2011) - [j83]Adamo Ferro, Dominik Brunner, Lorenzo Bruzzone, Guido Lemoine:
On the Relationship Between Double Bounce and the Orientation of Buildings in VHR SAR Images. IEEE Geosci. Remote. Sens. Lett. 8(4): 612-616 (2011) - [j82]Luca Pasolli, Claudia Notarnicola, Lorenzo Bruzzone:
Estimating Soil Moisture With the Support Vector Regression Technique. IEEE Geosci. Remote. Sens. Lett. 8(6): 1080-1084 (2011) - [j81]Lorenzo Bruzzone, Giovanni Alberti, Clau Catallo, Adamo Ferro, Wlodek Kofman, Roberto Orosei:
Subsurface Radar Sounding of the Jovian Moon Ganymede. Proc. IEEE 99(5): 837-857 (2011) - [j80]Ross S. Lunetta, Daniel L. Civco, Roger L. King, Lorenzo Bruzzone, John G. Lyon:
Introduction to the Special Section on the Fifth International Workshop on Multi-temporal Imagery Analysis. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 4(2): 251 (2011) - [j79]Begüm Demir, Claudio Persello, Lorenzo Bruzzone:
Batch-Mode Active-Learning Methods for the Interactive Classification of Remote Sensing Images. IEEE Trans. Geosci. Remote. Sens. 49(3): 1014-1031 (2011) - [j78]Swarnajyoti Patra, Lorenzo Bruzzone:
A Fast Cluster-Assumption Based Active-Learning Technique for Classification of Remote Sensing Images. IEEE Trans. Geosci. Remote. Sens. 49(5): 1617-1626 (2011) - [j77]Michele Dalponte, Lorenzo Bruzzone, Damiano Gianelle:
A System for the Estimation of Single-Tree Stem Diameter and Volume Using Multireturn LIDAR Data. IEEE Trans. Geosci. Remote. Sens. 49(7): 2479-2490 (2011) - [c67]Begüm Demir, Francesca Bovolo, Lorenzo Bruzzone:
Detection of land-cover transitions in multitemporal images with active-learning based compound classification. IGARSS 2011: 225-228 - [c66]Lorenzo Bruzzone, Francesca Bovolo:
A semantic-based multilevel approach to change detection in very high geometrical resolution multitemporal images. IGARSS 2011: 229-232 - [c65]Francesca Bovolo, Lorenzo Bruzzone:
An adaptive thresholding approach to multiple-change detection in multispectral images. IGARSS 2011: 233-236 - [c64]Luca Pasolli, Claudia Notarnicola, Lorenzo Bruzzone, Giacomo Bertoldi, Georg Niedrist, Ulrike Tappeiner, Marc Zebisch, Fabio Del Frate, Gaia Vaglio Laurin:
Spatial and temporal mapping of soil moisture content with polarimetric RADARSAT 2 SAR imagery in the Alpine area. IGARSS 2011: 1067-1070 - [c63]Adamo Ferro, Lorenzo Bruzzone:
A novel approach to the automatic detection of subsurface features in planetary radar sounder signals. IGARSS 2011: 1071-1074 - [c62]Luca Pasolli, Lorenzo Bruzzone, Claudia Notarnicola:
A novel hybrid approach to the estimation of biophysical parameters from remotely sensed data. IGARSS 2011: 1231-1234 - [c61]Mauro Dalla Mura, Jón Atli Benediktsson, Lorenzo Bruzzone:
A general approach to the spatial simplification of remote sensing images based on morphological connected filters. IGARSS 2011: 1239-1242 - [c60]Claudio Persello, Lorenzo Bruzzone:
A novel active learning strategy for domain adaptation in the classification of remote sensing images. IGARSS 2011: 3720-3723 - [c59]Jón Atli Benediktsson, Lorenzo Bruzzone, Jocelyn Chanussot, Mauro Dalla Mura, Philippe Salembier, Silvia Valero:
Hierarchical Analysis of Remote Sensing Data: Morphological Attribute Profiles and Binary Partition Trees. ISMM 2011: 306-319 - [c58]Mauro Dalla Mura, Jón Atli Benediktsson, Lorenzo Bruzzone:
Self-dual Attribute Profiles for the Analysis of Remote Sensing Images. ISMM 2011: 320-330 - [c57]Luca Pasolli, Claudia Notarnicola, Lorenzo Bruzzone, Giacomo Bertoldi, Georg Niedrist, Ulrike Tappeiner, Marc Zebisch, Fabio Del Frate, Gaia Vaglio Laurin:
Comparison of L and C band polarimetric SAR data for the retrieval of soil moisture in the Alps. SAR 2011: 817903 - [c56]Michele Dalponte, Lorenzo Bruzzone, Damiano Gianelle:
Tree species classification in the Southern Alps with very high geometrical resolution multispectral and hyperspectral data. WHISPERS 2011: 1-4 - 2010
- [j76]Ashish Ghosh, B. Uma Shankar, Lorenzo Bruzzone, Saroj K. Meher:
Neuro-fuzzy-combiner: an effective multiple classifier system. Int. J. Knowl. Eng. Soft Data Paradigms 2(2): 107-129 (2010) - [j75]Francesca Bovolo, Lorenzo Bruzzone, Luca Capobianco, Andrea Garzelli, Silvia Marchesi, Filippo Nencini:
Analysis of the Effects of Pansharpening in Change Detection on VHR Images. IEEE Geosci. Remote. Sens. Lett. 7(1): 53-57 (2010) - [j74]Lorenzo Bruzzone, Mattia Marconcini:
Domain Adaptation Problems: A DASVM Classification Technique and a Circular Validation Strategy. IEEE Trans. Pattern Anal. Mach. Intell. 32(5): 770-787 (2010) - [j73]Selim Aksoy, Nicolas H. Younan, Lorenzo Bruzzone:
Pattern Recognition in Remote Sensing. Pattern Recognit. Lett. 31(10): 1069-1070 (2010) - [j72]Francesca Bovolo, Gustavo Camps-Valls, Lorenzo Bruzzone:
A support vector domain method for change detection in multitemporal images. Pattern Recognit. Lett. 31(10): 1148-1154 (2010) - [j71]Luis Gómez-Chova, Gustavo Camps-Valls, Lorenzo Bruzzone, Javier Calpe-Maravilla:
Mean Map Kernel Methods for Semisupervised Cloud Classification. IEEE Trans. Geosci. Remote. Sens. 48(1-1): 207-220 (2010) - [j70]Claudio Persello, Lorenzo Bruzzone:
A Novel Protocol for Accuracy Assessment in Classification of Very High Resolution Images. IEEE Trans. Geosci. Remote. Sens. 48(3-1): 1232-1244 (2010) - [j69]Dominik Brunner, Guido Lemoine, Lorenzo Bruzzone, Harm Greidanus:
Building Height Retrieval From VHR SAR Imagery Based on an Iterative Simulation and Matching Technique. IEEE Trans. Geosci. Remote. Sens. 48(3-2): 1487-1504 (2010) - [j68]Dominik Brunner, Guido Lemoine, Lorenzo Bruzzone:
Earthquake Damage Assessment of Buildings Using VHR Optical and SAR Imagery. IEEE Trans. Geosci. Remote. Sens. 48(5): 2403-2420 (2010) - [j67]Chen Yang, Lorenzo Bruzzone, Fengyue Sun, Laijun Lu, Renchu Guan, Yanchun Liang:
A Fuzzy-Statistics-Based Affinity Propagation Technique for Clustering in Multispectral Images. IEEE Trans. Geosci. Remote. Sens. 48(6): 2647-2659 (2010) - [j66]Jordi Muñoz-Marí, Francesca Bovolo, Luis Gómez-Chova, Lorenzo Bruzzone, Gustavo Camps-Valls:
Semisupervised One-Class Support Vector Machines for Classification of Remote Sensing Data. IEEE Trans. Geosci. Remote. Sens. 48(8): 3188-3197 (2010) - [j65]Mauro Dalla Mura, Jón Atli Benediktsson, Björn Waske, Lorenzo Bruzzone:
Morphological Attribute Profiles for the Analysis of Very High Resolution Images. IEEE Trans. Geosci. Remote. Sens. 48(10): 3747-3762 (2010) - [j64]Silvia Marchesi, Francesca Bovolo, Lorenzo Bruzzone:
A Context-Sensitive Technique Robust to Registration Noise for Change Detection in VHR Multispectral Images. IEEE Trans. Image Process. 19(7): 1877-1889 (2010) - [j63]Francesca Bovolo, Lorenzo Bruzzone, Lorenzo Carlin:
A Novel Technique for Subpixel Image Classification Based on Support Vector Machine. IEEE Trans. Image Process. 19(11): 2983-2999 (2010) - [c55]Mauro Dalla Mura, Jón Atli Benediktsson, Lorenzo Bruzzone:
Classification of hyperspectral images with Extended Attribute Profiles and feature extraction techniques. IGARSS 2010: 76-79 - [c54]Luca Pasolli, Claudia Notarnicola, Lorenzo Bruzzone:
Multiobjective model selection for non-linear regression techniques. IGARSS 2010: 268-271 - [c53]Adamo Ferro, Dominik Brunner, Lorenzo Bruzzone:
Building detection and radar footprint reconstruction from single VHR SAR images. IGARSS 2010: 292-295 - [c52]Silvia Marchesi, Lorenzo Bruzzone:
A registration-noise driven technique for the alignment of VHR remote sensing images. IGARSS 2010: 1023-1026 - [c51]Lorenzo Bruzzone, Francesca Bovolo:
A conceptual framework for change detection in very high resolution remote sensing images. IGARSS 2010: 2555-2558 - [c50]Francesca Bovolo, Silvia Marchesi, Lorenzo Bruzzone:
A nearly lossless 2d representation and characterization of change information in multispectral images. IGARSS 2010: 3074-3077 - [c49]Dominik Brunner, Lorenzo Bruzzone, Guido Lemoine:
Change detection for earthquake damage assessment in built-up areas using very high resolution optical and SAR imagery. IGARSS 2010: 3210-3213 - [c48]Lorenzo Bruzzone, Claudio Persello:
Recent trends in classification of remote sensing data: active and semisupervised machine learning paradigms. IGARSS 2010: 3720-3723 - [c47]Luca Pasolli, Claudia Notarnicola, Lorenzo Bruzzone, Giacomo Bertoldi, Georg Niedrist, U. Tappainer, Marc Zebisch, Fabio Del Frate, Gaia Vaglio Laurin:
Analysis of polarimetric RADARSAT2 images for soil moisture retrieval in an alpine catchment. SAR 2010: 78290C - [c46]Mauro Dalla Mura, Alberto Villa, Jón Atli Benediktsson, Jocelyn Chanussot, Lorenzo Bruzzone:
Classification of hyperspectral images by using morphological attribute filters and Independent Component Analysis. WHISPERS 2010: 1-4
2000 – 2009
- 2009
- [j62]Mattia Marconcini, Gustavo Camps-Valls, Lorenzo Bruzzone:
A Composite Semisupervised SVM for Classification of Hyperspectral Images. IEEE Geosci. Remote. Sens. Lett. 6(2): 234-238 (2009) - [j61]Dominik Brunner, Guido Lemoine, François-Xavier Thoorens, Lorenzo Bruzzone:
Distributed Geospatial Data Processing Functionality to Support Collaborative and Rapid Emergency Response. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 2(1): 33-46 (2009) - [j60]Michele Dalponte, Nicholas C. Coops, Lorenzo Bruzzone, Damiano Gianelle:
Analysis on the Use of Multiple Returns LiDAR Data for the Estimation of Tree Stems Volume. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 2(4): 310-318 (2009) - [j59]Hampapuram K. Ramapriyan, Liping Di, Lorenzo Bruzzone:
Guest Editorial. IEEE Trans. Geosci. Remote. Sens. 47(1-1): 17-19 (2009) - [j58]Tatyana V. Bandos, Lorenzo Bruzzone, Gustavo Camps-Valls:
Classification of Hyperspectral Images With Regularized Linear Discriminant Analysis. IEEE Trans. Geosci. Remote. Sens. 47(3): 862-873 (2009) - [j57]Lorenzo Bruzzone, Mattia Marconcini:
Toward the Automatic Updating of Land-Cover Maps by a Domain-Adaptation SVM Classifier and a Circular Validation Strategy. IEEE Trans. Geosci. Remote. Sens. 47(4): 1108-1122 (2009) - [j56]Lorenzo Bruzzone, Claudio Persello:
A Novel Context-Sensitive Semisupervised SVM Classifier Robust to Mislabeled Training Samples. IEEE Trans. Geosci. Remote. Sens. 47(7-2): 2142-2154 (2009) - [j55]Francesca Bovolo, Lorenzo Bruzzone, Silvia Marchesi:
Analysis and Adaptive Estimation of the Registration Noise Distribution in Multitemporal VHR Images. IEEE Trans. Geosci. Remote. Sens. 47(8-1): 2658-2671 (2009) - [j54]Lorenzo Bruzzone, Claudio Persello:
A Novel Approach to the Selection of Spatially Invariant Features for the Classification of Hyperspectral Images With Improved Generalization Capability. IEEE Trans. Geosci. Remote. Sens. 47(9): 3180-3191 (2009) - [c45]Claudio Persello, Lorenzo Bruzzone:
A Novel Approach to the Selection of Spatially Invariant Features for Classification of Hyperspectral Images. IGARSS (2) 2009: 61-64 - [c44]Mauro Dalla Mura, Jón Atli Benediktsson, Björn Waske, Lorenzo Bruzzone:
Morphological Attribute Filters for the Analysis of Very High Resolution Remote Sensing Images. IGARSS (3) 2009: 97-100 - [c43]Lorenzo Bruzzone, Claudio Persello:
Active Learning for Classification of Remote Sensing Images. IGARSS (3) 2009: 693-696 - [c42]Francesca Bovolo, Lorenzo Bruzzone:
An Adaptive Multiscale Random Field Technique for Unsupervised Change Detection in VHR Multitemporal Images. IGARSS (4) 2009: 777-780 - [c41]Silvia Marchesi, Lorenzo Bruzzone:
ICA and Kernel ICA for Change Detection in Multispectral Remote Sensing Images. IGARSS (2) 2009: 980-983 - [c40]Michele Dalponte, Lorenzo Bruzzone:
Fusion of Hyperspectral and Lidar Remote Sensing Data for the Estimation of Tree Stem Diameters. IGARSS (2) 2009: 1008-1011 - 2008
- [j53]Mayank Tyagi, Francesca Bovolo, Ankit K. Mehra, Subhasis Chaudhuri, Lorenzo Bruzzone:
A Context-Sensitive Clustering Technique Based on Graph-Cut Initialization and Expectation-Maximization Algorithm. IEEE Geosci. Remote. Sens. Lett. 5(1): 21-25 (2008) - [j52]Mauro Dalla Mura, Jón Atli Benediktsson, Francesca Bovolo, Lorenzo Bruzzone:
An Unsupervised Technique Based on Morphological Filters for Change Detection in Very High Resolution Images. IEEE Geosci. Remote. Sens. Lett. 5(3): 433-437 (2008) - [j51]Giandomenico Nollo, Mattia Marconcini, Luca Faes, Francesca Bovolo, Flavia Ravelli, Lorenzo Bruzzone:
An Automatic System for the Analysis and Classification of Human Atrial Fibrillation Patterns from Intracardiac Electrograms. IEEE Trans. Biomed. Eng. 55(9): 2275-2285 (2008) - [j50]Shilpa Inamdar, Francesca Bovolo, Lorenzo Bruzzone, Subhasis Chaudhuri:
Multidimensional Probability Density Function Matching for Preprocessing of Multitemporal Remote Sensing Images. IEEE Trans. Geosci. Remote. Sens. 46(4): 1243-1252 (2008) - [j49]Michele Dalponte, Lorenzo Bruzzone, Damiano Gianelle:
Fusion of Hyperspectral and LIDAR Remote Sensing Data for Classification of Complex Forest Areas. IEEE Trans. Geosci. Remote. Sens. 46(5): 1416-1427 (2008) - [j48]Francesca Bovolo, Lorenzo Bruzzone, Mattia Marconcini:
A Novel Approach to Unsupervised Change Detection Based on a Semisupervised SVM and a Similarity Measure. IEEE Trans. Geosci. Remote. Sens. 46(7): 2070-2082 (2008) - [c39]Lorenzo Bruzzone, Claudio Persello:
A Novel Approach to the Selection of Robust and Invariant Features for Classification of Hyperspectral Images. IGARSS (1) 2008: 66-69 - [c38]Dominik Brunner, Guido Lemoine, Lorenzo Bruzzone:
Extraction of Building Heights from VHR SAR Imagery using an Iterative Simulation and Match Procedure. IGARSS (4) 2008: 141-144 - [c37]Francesca Bovolo, Lorenzo Bruzzone, Silvia Marchesi:
A Context-Sensitive Technique Robust to Registration Noise for Change Detection in Very High Resolution Multispectral Images. IGARSS (3) 2008: 150-153 - [c36]Francesca Bovolo, Lorenzo Bruzzone:
An Adaptive Technique based on Similarity Measures for Change Detection in Very High Resolution SAR Images. IGARSS (3) 2008: 158-161 - [c35]Lorenzo Bruzzone, Claudio Persello:
A Novel Protocol for Accuracy Assessment in Classification of Very High Resolution Multispectral and SAR Images. IGARSS (2) 2008: 265-268 - [c34]Luis Gómez-Chova, Lorenzo Bruzzone, Gustavo Camps-Valls, Javier Calpe-Maravilla:
Semi-Supervised Remote Sensing Image Classification based on Clustering and the Mean Map Kernel. IGARSS (4) 2008: 391-394 - 2007
- [j47]Yakoub Bazi, Lorenzo Bruzzone, Farid Melgani:
Image thresholding based on the EM algorithm and the generalized Gaussian distribution. Pattern Recognit. 40(2): 619-634 (2007) - [j46]Francesca Bovolo, Lorenzo Bruzzone:
A Theoretical Framework for Unsupervised Change Detection Based on Change Vector Analysis in the Polar Domain. IEEE Trans. Geosci. Remote. Sens. 45(1): 218-236 (2007) - [j45]Susmita Ghosh, Lorenzo Bruzzone, Swarnajyoti Patra, Francesca Bovolo, Ashish Ghosh:
A Context-Sensitive Technique for Unsupervised Change Detection Based on Hopfield-Type Neural Networks. IEEE Trans. Geosci. Remote. Sens. 45(3): 778-789 (2007) - [j44]Mihai Datcu, Sergio d'Elia, Roger L. King, Lorenzo Bruzzone:
Introduction to the Special Section on Image Information Mining for Earth Observation Data. IEEE Trans. Geosci. Remote. Sens. 45(4): 795-798 (2007) - [j43]Francesca Bovolo, Lorenzo Bruzzone:
A Split-Based Approach to Unsupervised Change Detection in Large-Size Multitemporal Images: Application to Tsunami-Damage Assessment. IEEE Trans. Geosci. Remote. Sens. 45(6-1): 1658-1670 (2007) - [j42]Mingmin Chi, Lorenzo Bruzzone:
Semisupervised Classification of Hyperspectral Images by SVMs Optimized in the Primal. IEEE Trans. Geosci. Remote. Sens. 45(6-2): 1870-1880 (2007) - [j41]Jordi Muñoz-Marí, Lorenzo Bruzzone, Gustavo Camps-Valls:
A Support Vector Domain Description Approach to Supervised Classification of Remote Sensing Images. IEEE Trans. Geosci. Remote. Sens. 45(8): 2683-2692 (2007) - [c33]Mattia Marconcini, Lorenzo Bruzzone:
Partially-supervised updating of land-cover maps: A P2S2VM technique and a circular validation strategy. IGARSS 2007: 1079-1082 - [c32]Francesca Bovolo, Lorenzo Bruzzone, Mattia Marconcini:
An unsupervised change detection technique based on Bayesian initialization and semisupervised SVM. IGARSS 2007: 2370-2373 - [c31]Dominik Brunner, Guido Lemoine, Joaquim Fortuny-Guasch, Lorenzo Bruzzone:
Building characterisation in VHR SAR data acquired under controlled EMSL conditions. IGARSS 2007: 2694-2697 - [c30]Mingmin Chi, Lorenzo Bruzzone:
Classification of hyperspectral data by continuation semi-supervised SVM. IGARSS 2007: 3794-3797 - [c29]Lorenzo Bruzzone, Mattia Marconcini, Claudio Persello:
Fusion of spectral and spatial information by a novel SVM classification technique. IGARSS 2007: 4838-4841 - [c28]Lorenzo Bruzzone, Francesca Bovolo, Silvia Marchesi:
A Multiscale Change Detection Technique Robust to Registration Noise. PReMI 2007: 77-86 - 2006
- [j40]Gustavo Camps-Valls, Lorenzo Bruzzone, José Luis Rojo-Álvarez, Farid Melgani:
Robust support vector regression for biophysical variable estimation from remotely sensed images. IEEE Geosci. Remote. Sens. Lett. 3(3): 339-343 (2006) - [j39]Yakoub Bazi, Lorenzo Bruzzone, Farid Melgani:
Automatic identification of the number and values of decision thresholds in the log-ratio image for change detection in SAR images. IEEE Geosci. Remote. Sens. Lett. 3(3): 349-353 (2006) - [j38]Mingmin Chi, Lorenzo Bruzzone:
An ensemble-driven k-NN approach to ill-posed classification problems. Pattern Recognit. Lett. 27(4): 301-307 (2006) - [j37]Andrea Baraldi, Lorenzo Bruzzone, Palma Blonda, Lorenzo Carlin:
Badly posed classification of remotely sensed images-an experimental comparison of existing data labeling systems. IEEE Trans. Geosci. Remote. Sens. 44(1): 214-235 (2006) - [j36]Manjunath V. Joshi, Lorenzo Bruzzone, Subhasis Chaudhuri:
A Model-Based Approach to Multiresolution Fusion in Remotely Sensed Images. IEEE Trans. Geosci. Remote. Sens. 44(9): 2549-2562 (2006) - [j35]Andrea Baraldi, Virginia Puzzolo, Palma Blonda, Lorenzo Bruzzone, Cristina Tarantino:
Automatic Spectral Rule-Based Preliminary Mapping of Calibrated Landsat TM and ETM+ Images. IEEE Trans. Geosci. Remote. Sens. 44(9): 2563-2586 (2006) - [j34]Lorenzo Bruzzone, Lorenzo Carlin:
A Multilevel Context-Based System for Classification of Very High Spatial Resolution Images. IEEE Trans. Geosci. Remote. Sens. 44(9): 2587-2600 (2006) - [j33]Lorenzo Bruzzone, Mingmin Chi, Mattia Marconcini:
A Novel Transductive SVM for Semisupervised Classification of Remote-Sensing Images. IEEE Trans. Geosci. Remote. Sens. 44(11-2): 3363-3373 (2006) - [j32]Andrea Baraldi, Lorenzo Bruzzone, Palma Blonda:
A multiscale expectation-maximization semisupervised classifier suitable for badly posed image classification. IEEE Trans. Image Process. 15(8): 2208-2225 (2006) - [c27]Saroj K. Meher, Ashish Ghosh, B. Uma Shankar, Lorenzo Bruzzone:
Neuro-Fuzzy Fusion: A New Approach to Multiple Classifier System. ICIT 2006: 209-212 - [c26]B. Uma Shankar, Saroj K. Meher, Ashish Ghosh, Lorenzo Bruzzone:
Remote Sensing Image Classification: A Neuro-fuzzy MCS Approach. ICVGIP 2006: 128-139 - [c25]Francesca Bovolo, Lorenzo Bruzzone:
A Novel Theoretical Framework for Unsupervised Change Detection Based on CVA in Polar Domain. IGARSS 2006: 379-382 - [c24]Antonio J. Plaza, Jón Atli Benediktsson, Joseph W. Boardman, Jason Brazile, Lorenzo Bruzzone, Gustavo Camps-Valls, Jocelyn Chanussot, Mathieu Fauvel, Paolo Gamba, J. Anthony Gualtieri, James C. Tilton, Giovanna Trianni:
Advanced Processing of Hyperspectral Images. IGARSS 2006: 1974-1978 - [c23]Francesca Bovolo, Lorenzo Bruzzone, Mattia Marconcini:
A Novel Context-Sensitive SVM for Classification of Remote Sensing Images. IGARSS 2006: 2498-2501 - 2005
- [j31]Mingmin Chi, Lorenzo Bruzzone:
A semilabeled-sample-driven bagging technique for ill-posed classification problems. IEEE Geosci. Remote. Sens. Lett. 2(1): 69-73 (2005) - [j30]Roberto Cossu, Subhasis Chaudhuri, Lorenzo Bruzzone:
A context-sensitive Bayesian technique for the partially supervised classification of multitemporal images. IEEE Geosci. Remote. Sens. Lett. 2(3): 352-356 (2005) - [j29]Lorenzo Bruzzone, Farid Melgani:
Robust multiple estimator systems for the analysis of biophysical parameters from remotely sensed data. IEEE Trans. Geosci. Remote. Sens. 43(1): 159-174 (2005) - [j28]Andrea Baraldi, Lorenzo Bruzzone, Palma Blonda:
Quality assessment of classification and cluster maps without ground truth knowledge. IEEE Trans. Geosci. Remote. Sens. 43(4): 857-873 (2005) - [j27]Yakoub Bazi, Lorenzo Bruzzone, Farid Melgani:
An unsupervised approach based on the generalized Gaussian model to automatic change detection in multitemporal SAR images. IEEE Trans. Geosci. Remote. Sens. 43(4): 874-887 (2005) - [j26]Gustavo Camps-Valls, Lorenzo Bruzzone:
Kernel-based methods for hyperspectral image classification. IEEE Trans. Geosci. Remote. Sens. 43(6): 1351-1362 (2005) - [j25]Francesca Bovolo, Lorenzo Bruzzone:
A detail-preserving scale-driven approach to change detection in multitemporal SAR images. IEEE Trans. Geosci. Remote. Sens. 43(12): 2963-2972 (2005) - [c22]Francesca Bovolo, Lorenzo Bruzzone:
An adaptive multiscale approach to unsupervised change detection in multitemporal SAR images. ICIP (1) 2005: 665-668 - [c21]Lorenzo Bruzzone, Mingmin Chi, Mattia Marconcini:
Transductive SVMs for semisupervised classification of hyperspectral data. IGARSS 2005: 4 - [c20]Francesca Bovolo, Lorenzo Bruzzone:
A multilevel parcel-based approach to change detection in very high resolution multitemporal images. IGARSS 2005: 2145-2148 - [c19]Lorenzo Bruzzone, Mattia Marconcini:
A novel T2-SVM for partially supervised classification of multitemporal remote sensing images. IGARSS 2005: 2815-2818 - [c18]Lorenzo Bruzzone, Mattia Marconcini:
A Novel T2-SVM for Partially Supervised Classification. PReMI 2005: 40-49 - [c17]Mayank Tyagi, Ankit K. Mehra, Subhasis Chaudhuri, Lorenzo Bruzzone:
Unsupervised Classification of Remote Sensing Data Using Graph Cut-Based Initialization. PReMI 2005: 206-211 - [c16]Francesca Bovolo, Lorenzo Bruzzone:
A Context-Sensitive Technique Based on Support Vector Machines for Image Classification. PReMI 2005: 260-265 - 2004
- [j24]Lorenzo Bruzzone, Roberto Cossu, Gianni Vernazza:
Detection of land-cover transitions by combining multidate classifiers. Pattern Recognit. Lett. 25(13): 1491-1500 (2004) - [j23]Lorenzo Bruzzone, Mattia Marconcini, Urs Wegmüller, Andreas Wiesmann:
An advanced system for the automatic classification of multitemporal SAR images. IEEE Trans. Geosci. Remote. Sens. 42(6): 1321-1334 (2004) - [j22]Farid Melgani, Lorenzo Bruzzone:
Classification of hyperspectral remote sensing images with support vector machines. IEEE Trans. Geosci. Remote. Sens. 42(8): 1778-1790 (2004) - [c15]Yakoub Bazi, Lorenzo Bruzzone, Farid Melgani:
An approach to unsupervised change detection in multitemporal SAR images based on the Generalized Gaussian distribution. IGARSS 2004: 1402-1405 - [c14]Lorenzo Bruzzone, Lorenzo Carlin, Farid Melgani:
A multilevel hierarchical approach to classification of high spatial resolution images with support vector machines. IGARSS 2004 - [c13]Farid Melgani, Lorenzo Bruzzone:
Estimation of biophysical parameters from optical remote-sensing images with high-order residues. IGARSS 2004: 1479-1482 - 2003
- [j21]Lorenzo Bruzzone, Paul C. Smits, James C. Tilton:
Foreword special issue on analysis of multitemporal remote sensing images. IEEE Trans. Geosci. Remote. Sens. 41(11): 2419-2422 (2003) - [j20]Lorenzo Bruzzone, Roberto Cossu:
An adaptive approach to reducing registration noise effects in unsupervised change detection. IEEE Trans. Geosci. Remote. Sens. 41(11): 2455-2465 (2003) - [c12]Farid Melgani, Lorenzo Bruzzone:
A residual-based technique for the estimation of biophysical parameters from remote-sensing images. IGARSS 2003: 476-478 - [c11]Lorenzo Bruzzone, Farid Melgani:
A data fusion approach to unsupervised change detection. IGARSS 2003: 1374-1376 - [c10]Lorenzo Bruzzone, Farid Melgani:
An advanced classification system based on the back-propagation of consensus. IGARSS 2003: 1785-1787 - [c9]Espen Volden, Lorenzo Bruzzone, J. Romero, A. Lumicisi, Olga Renda, R. la Fortezza, E. Tomppo, H. Aalde:
Forest environmental reporting services. IGARSS 2003: 4582-4584 - 2002
- [j19]Giovanni Simone, Alfonso Farina, Francesco Carlo Morabito, Sebastiano B. Serpico, Lorenzo Bruzzone:
Image fusion techniques for remote sensing applications. Inf. Fusion 3(1): 3-15 (2002) - [j18]Lorenzo Bruzzone, Roberto Cossu, Gianni Vernazza:
Combining parametric and non-parametric algorithms for a partially unsupervised classification of multitemporal remote-sensing images. Inf. Fusion 3(4): 289-297 (2002) - [j17]Lorenzo Bruzzone, Diego Fernández-Prieto:
A partially unsupervised cascade classifier for the analysis of multitemporal remote-sensing images. Pattern Recognit. Lett. 23(9): 1063-1071 (2002) - [j16]Lorenzo Bruzzone, Roberto Cossu:
A multiple-cascade-classifier system for a robust and partially unsupervised updating of land-cover maps. IEEE Trans. Geosci. Remote. Sens. 40(9): 1984-1996 (2002) - [j15]Lorenzo Bruzzone, Diego Fernández-Prieto:
An adaptive semiparametric and context-based approach to unsupervised change detection in multitemporal remote-sensing images. IEEE Trans. Image Process. 11(4): 452-466 (2002) - [c8]Lorenzo Bruzzone, Roberto Cossu:
An unsupervised change detection technique robust to registration noise. IGARSS 2002: 306-308 - [c7]Farid Melgani, Lorenzo Bruzzone:
Support vector machines for classification of hyperspectral remote-sensing images. IGARSS 2002: 506-508 - 2001
- [j14]Lorenzo Bruzzone, Diego Fernández-Prieto:
Unsupervised retraining of a maximum likelihood classifier for the analysis of multitemporal remote sensing images. IEEE Trans. Geosci. Remote. Sens. 39(2): 456-460 (2001) - [j13]Sebastiano B. Serpico, Lorenzo Bruzzone:
A new search algorithm for feature selection in hyperspectral remote sensing images. IEEE Trans. Geosci. Remote. Sens. 39(7): 1360-1367 (2001) - [c6]Lorenzo Bruzzone, Roberto Cossu:
A Robust Multiple Classifier System for a Partially Unsupervised Updating of Land-Cover Maps. Multiple Classifier Systems 2001: 259-268 - 2000
- [j12]Giorgio Giacinto, Fabio Roli, Lorenzo Bruzzone:
Combination of neural and statistical algorithms for supervised classification of remote-sensing image. Pattern Recognit. Lett. 21(5): 385-397 (2000) - [j11]Lorenzo Bruzzone:
An approach to feature selection and classification of remote sensing images based on the Bayes rule for minimum cost. IEEE Trans. Geosci. Remote. Sens. 38(1): 429-438 (2000) - [j10]Lorenzo Bruzzone, Diego Fernández-Prieto:
Automatic analysis of the difference image for unsupervised change detection. IEEE Trans. Geosci. Remote. Sens. 38(3): 1171-1182 (2000) - [c5]Lorenzo Bruzzone, Roberto Cossu, Diego Fernández-Prieto:
Combining Parametric and Nonparametric Classifiers for an Unsupervised Updating of Land-Cover Maps. Multiple Classifier Systems 2000: 290-299
1990 – 1999
- 1999
- [j9]Lorenzo Bruzzone, Diego Fernández-Prieto:
An incremental-learning neural network for the classification of remote-sensing images. Pattern Recognit. Lett. 20(11-13): 1241-1248 (1999) - [j8]Lorenzo Bruzzone, Diego Fernández-Prieto:
A technique for the selection of kernel-function parameters in RBF neural networks for classification of remote-sensing images. IEEE Trans. Geosci. Remote. Sens. 37(2): 1179-1184 (1999) - [j7]Lorenzo Bruzzone, Diego Fernández-Prieto, Sebastiano B. Serpico:
A neural-statistical approach to multitemporal and multisource remote-sensing image classification. IEEE Trans. Geosci. Remote. Sens. 37(3): 1350-1359 (1999) - [c4]Lorenzo Bruzzone, Diego Fernández-Prieto:
An MRF Approach to Unsupervised Change Detection. ICIP (1) 1999: 143-147 - 1998
- [j6]Lorenzo Bruzzone, Sebastiano B. Serpico:
A simple upper bound to the Bayes error probability for feature selection. Kybernetika 34(4): 387-392 (1998) - [j5]Lorenzo Bruzzone, Fabio Roli, Sebastiano B. Serpico:
Structured neural networks for signal classification. Signal Process. 64(3): 271-290 (1998) - 1997
- [j4]Lorenzo Bruzzone, Sebastiano B. Serpico:
Classification of imbalanced remote-sensing data by neural networks. Pattern Recognit. Lett. 18(11-13): 1323-1328 (1997) - [j3]Lorenzo Bruzzone, Sebastiano B. Serpico:
An iterative technique for the detection of land-cover transitions in multitemporal remote-sensing images. IEEE Trans. Geosci. Remote. Sens. 35(4): 858-867 (1997) - 1996
- [j2]Sebastiano B. Serpico, Lorenzo Bruzzone, Fabio Roli:
An experimental comparison of neural and statistical non-parametric algorithms for supervised classification of remote-sensing images. Pattern Recognit. Lett. 17(13): 1331-1341 (1996) - [c3]Fabio Roli, Sebastiano B. Serpico, Lorenzo Bruzzone, Gianni Vernazza:
Classification of multispectral remote-sensing images by neural networks. EUSIPCO 1996: 1-4 - [c2]Fabio Roli, Sebastiano B. Serpico, Lorenzo Bruzzone:
Classification of multisensor remote-sensing images by multiple structured neural networks. ICPR 1996: 180-184 - 1995
- [j1]Lorenzo Bruzzone, Fabio Roli, Sebastiano B. Serpico:
An extension of the Jeffreys-Matusita distance to multiclass cases for feature selection. IEEE Trans. Geosci. Remote. Sens. 33(6): 1318-1321 (1995) - [c1]Lorenzo Bruzzone, Fabio Roli, Sebastiano B. Serpico:
Crack Detection by a Measure of Texture Anisotropy. ICIAP 1995: 743-747
Coauthor Index
aka: Gustavo Camps-Valls
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