We have a trilateration API. 🎯 It was sponsored a while back for a custom tool and now we're opening it up for general use by all users. It works with any RF technology. Trilateration is an old, simple technique which has a reputation for inaccuracy.... The primary reason is because drawing RSSI circles in mountains or cities isn't how RF propagates. It's complicated! 🏔 By using our world leading propagation API, we can increase the accuracy of this simple technique in difficult terrain and make low cost sensors much more capable in comparison with their more expensive TDOA/PDOA counterparts. 💰 If you want to know more, checkout the video or have a play with the public demo on Github: Video: https://lnkd.in/ep5AkAx8 Github: https://lnkd.in/e-s6ZyRn API spec: https://lnkd.in/eexqvRux
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🌰 Weaviate now has faster filtered search with ACORN! ACORN (ANN Constraint-Optimized Retrieval Network) improves speed and accuracy when using rule-based filtered with vector-based search by employing predicate subgraph traversal, a method where the similarity search focuses only on items that pass the rules-based filters. Weaviate 1.27 now lets you enable ACORN as your filter strategy by setting the field for the relevant HNSW vector index in collection configuration. To learn more about ACORN in Weaviate and other new features from our latest release, check out JP Hwang's blog post here: https://lnkd.in/eTF3-zjP
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Emlid Flow’s 𝗕𝗔𝗦𝗘 𝗦𝗛𝗜𝗙𝗧 feature lets you measure points when your benchmark is out of reach. Check out this impressive video by Mangoesmapping, presented by Alistair Hart. (And yes, the feature is free) https://lnkd.in/gcRWBpEi
Using Base Shift in Emlid Flow
https://www.youtube.com/
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CHCNAV i89 Pocket Visual RTK still has excellent GNSS performance in dense forests. 🔍It comes with a 1408-channel GNSS module that enhances RTK usability even in challenging environments. The CHCNAV iStar2.0 software incorporates advanced ionospheric modeling algorithms, achieving a high integrity RTK fix rate. High-accuracy 200Hz AUTO-IMU and effortlessly complete visual stakeout, survey has never been easier!👏👏
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>30x position accuracy improvement (1m --> 2 cm) 🎯 Thursday night we added #GEODNET RTK corrections to our GNSS-Aided INS positioning system. Unlike a standalone GNSS unit, it measures accurate position and orientation. We signed up for the GNSS corrections through easynav.xyz. After tabletop testing, we mounted the system to a cart and did rectangular passes both without and with the corrections. The RTK fix came within 4-8 seconds, and the position accuracy went from meter-level to cm-level equally as fast. Impressed. 👏 Some devices are designed for easily connecting to RTK corrections. It is like adding an email to Outlook: enter address, port, username, and password. Done. This was not the case for this particular device. The setup required additional hardware/software and took a few iterations of testing. If adding RTK to your device is not obvious and you've wondered about the same, let me know and I'd be glad to share tips. Learn more from these two recent Organic Navigation articles: What are RTK Networks and GNSS Correction Services? https://lnkd.in/gXCgg9ik What is GEODNET and How Did it Grow So Fast? https://lnkd.in/gSWS4K63
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Small Object Detection Algorithm Based on Improved YOLOv8 for Remote Sensing
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Excited to share hyperspectral image Classification by using spectral angle mapper (SAM) using ENVI. 🌈✨Hyperspectral remote sensing is an advanced technique for analysing and capturing information about the earth surface and atmosphere by capturing a wide range of electromagnetic wavelengths , it uses hundreds or more than hundreds of narrow and contiguous bands. Sensor: Hyperion spectral range: 400 - 2500 nm. Spectral resolution : 10 -15 nm. No of bands : 242. Before hyperspectral data processing we have to know that , this sensor provide lots of details about feature, but it contains lots of noise. ✨Image processing Steps( ENVI): Bad band and Bad line remove - geometric correction - Flash ( to remove atmospheric error)- Endmember collection ( MNF, PPI , N- D VISUALIZER) - apply Spectral angle mapper. #imageclassification #hyperspectralimage #ENVI #Remotesensing #spectralanglemapper
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🌟 Excited to announce our latest blog post on "High-order Adaptive Rank Integrators for Multi-scale Linear Kinetic Transport Equations in the Hierarchical Tucker Format"! Learn about a new adaptive rank approximation technique for solving high-dimensional linear kinetic transport equations. The post delves into the macro-micro decomposition of the kinetic model, challenges of curse of dimensionality, and the application of high-order discretizations for time and space. Check it out here: https://bit.ly/3zy30hn #SocialMediaMarketing #BlogPost #KineticTransportEquations
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Converting Infrasound Sensor Data to Pascal: A Step-by-Step Guide In the world of environmental and geophysical monitoring, infrasound sensors play a pivotal role in detecting low-frequency sound waves emanating from natural or man-made sources. These sensors capture invaluable data that can be used for monitoring volcanoes, detecting avalanches, or even tracking artificial explosions. In this blog, we show how to convert data logger count values to Pascals for infrasound sensors. To read the rest of the blog, follow the link below: https://lnkd.in/gHNH67Y5
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