🤔 Curious about the techniques used for detecting wildfires? This videos a part of the course: “Advanced Techniques in Wildfire Management: Remote Sensing, 🛰️ Satellite Imagery and Artificial Intelligence.'' 👉 This part of the tutorial focuses on investigating the diverse techniques employed in acquiring and processing images for wildfire detection using remote sensing and satellite imagery. ✅ Understanding these methods enables proficient analysis for effective wildfire detection. The video tutorial is part of the TREEADS project that has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 101036926. 🔥 Watch the video here: https://lnkd.in/dMWNm2Je 📩 Don't forget to subscribe: rb.gy/z57dfz #INNOVACTS #TREEADS #WildfireManagement #Innovation
Innov-acts’ Post
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🖼️🖼️ MCAFNet: A Multiscale Channel Attention #Fusion #Network for Semantic #Segmentation of Remote Sensing #Images ✍️ Min Yuan et al. 🔗 https://brnw.ch/21wP6Mv
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enabling digital services for Student Loan related activities while maintaining the highest security standard, the most compliant personal data protection and customer-centric data-driven innovation.
🌍 Exciting new blog post alert! Learn about the cutting-edge deep-learning model, GeoBind, which can simultaneously infer text, images, and audio from satellite imagery. This innovative approach presents a versatile and efficient way of modeling multiple modalities for a given geographic location. Check out the full post here: https://bit.ly/49YCieJ. #DeepLearning #SatelliteImagery #Innovation
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Thrilled to have completed the Remote Sensing and Satellite Image Processing course from GU University.This course introduced me to the fundamentals of remote sensing and satellite image analysis, and I’m eager to dive deeper into this field. There's so much more to learn, and I look forward to exploring advanced techniques in the future. I'm excited to keep growing and building upon this knowledge. Excited about the journey ahead! #RemoteSensing #satelliteImage processing #skillDevelopment #GeospatialAnalysis
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Satellite Image Processing: Comprehensive Guide to Remote Sensing Unlock the full potential of satellite imagery with this comprehensive guide to satellite image processing and remote sensing. Explore key techniques such as image classification, enhancement, and interpretation using leading tools like QGIS, ArcGIS, and Google Earth Engine. This playlist is perfect for beginners and professionals in GIS, environmental science, and urban planning. Learn how to effectively process satellite images for applications in land use analysis, environmental monitoring, and urban development. 🎥watch the full playlist on YouTube: https://lnkd.in/dcwUYtEq
Satellite Image Processing: Comprehensive Guide to Remote Sensing
youtube.com
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Issue 3 of our #openaccess journal, IET Image Processing (impact factor 2.3), is available to read now: https://lnkd.in/ey7J_A_6 It features 20 articles across a range of topic areas including deepfake detection, image restoration, and shadow removal. #iet #wiley #imageprocessing IET Research Solutions
IET Image Processing: Vol 18, No 3
ietresearch.onlinelibrary.wiley.com
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Driven Civil Engineering Final Year BTech Student | Internship cum job at City Constructie Pvt Ltd.
"Excited to share my completion of the Remote Sensing/Digital Image Processing course at Athira Geo Spatial Services Private Limited! Ready to leverage these expert skills in analyzing and interpreting satellite imagery for innovative solutions. #RemoteSensing #ImageProcessing #AthiraGeoSpatial"
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Adaptive Slicing-Aided Hyper Inference for Small #ObjectDetection in High-Resolution Remote Sensing #Images ✍️by Hao Zhang et al. 🔗Access the paper: https://brnw.ch/21wNea9 #objectdetection #remotesensing
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DEMONSTRATED that CNNs can fulfill most of the requirements for ocean remote sensing applications across the following six categories: reconstruction of the 3D ocean field, information extraction, image super resolution, ocean phenomena forecast, transfer learning method, and CNN model interpretability method.
