Remote Sensing AI

Machine learning for satellite and aerial imagery: hyperspectral and multispectral fusion, change detection, and multi-sensor pipelines. Coverage focuses on what makes these methods reliable when the sensors disagree and the scenes change.

CS-EMCF: Compressive Sensing Phase Unwrapping for SAR Interferometry.

CS-EMCF: Compressive Sensing Phase Unwrapping for SAR Interferometry

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CS-EMCF: Compressive Sensing Phase Unwrapping for SAR Interferometry | AI Trend Blend Remote Sensing AI · ISPRS Journal of Photogrammetry and Remote Sensing 236 (2026) 120–140 · 22 min read How Compressive Sensing Finally Broke the Phase Unwrapping Bottleneck in SAR Interferometry Researchers at Italy’s CNR-IREA fused decades-old minimum cost flow theory with modern compressive […]

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IRDFusion: Iterative Differential Feedback for Multispectral Object Detection.

IRDFusion: Iterative Differential Feedback for Multispectral Object Detection

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IRDFusion: Iterative Differential Feedback for Multispectral Object Detection | AI Trend Blend AITrendBlend Machine Learning Computer Vision About Computer Vision · arXiv:2509.09085 · Jiangsu University · 20 min read The Feedback Loop That Fixes Multispectral Detection: How IRDFusion Borrowed from Circuit Design to Beat the State of the Art Researchers at Jiangsu University asked a

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PCKD: Physically Motivated Knowledge Distillation for Blind Side-Scan Sonar Correction.

PCKD: Physically Motivated Knowledge Distillation for Blind Side-Scan Sonar Correction

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PCKD: Physically Motivated Knowledge Distillation for Blind Side-Scan Sonar Correction | AI Trend Blend AITrendBlend Machine Learning Computer Vision About Underwater AI · Remote Sensing · arXiv:2603.15200 | Northwestern Polytechnical University · University of Girona (2026) · 22 min read PCKD: Teaching a Sonar to Straighten Itself — Blind Geometric Correction When GPS Fails Underwater

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EDIP-Net: Enhanced Deep Image Prior for Unsupervised Hyperspectral Super-Resolution.

EDIP-Net: Enhanced Deep Image Prior for Unsupervised Hyperspectral Super-Resolution

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EDIP-Net: Enhanced Deep Image Prior for Unsupervised Hyperspectral Super-Resolution | AI Trend Blend AITrendBlend Machine Learning Computer Vision About Remote Sensing · Hyperspectral AI · IEEE Transactions on Geoscience and Remote Sensing, Vol. 63 (2025) · 20 min read EDIP-Net: What Happens When You Stop Feeding Random Noise to Deep Image Prior Researchers at the

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Bayesian Multiclass Segmentation Model.

A bayesian Segmentation Model That Flags Its Own Uncertain Pixels

1 Comment / Machine Learning, Computer Vision, Image Segmentation, Remote Sensing AI /

Remote Sensing AI IEEE Transactions on Geoscience and Remote Sensing, Volume 64, 2026 22 minute read Bayesian CNN Remote Sensing Uncertainty Estimation VAE User Priors Transformer Query Fusion Interactive Segmentation Test Time Adaptation Land Cover Mapping DeepGlobe and LoveDA Picture an analyst scrolling through a fresh batch of satellite tiles after a flood. The land

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