AI RESEARCH
Transferring Physical Priors into Remote Sensing Segmentation via Large Language Models
arXiv CS.CV
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ArXi:2603.27504v1 Announce Type: new Semantic segmentation of remote sensing imagery is fundamental to Earth observation. Achieving accurate results requires integrating not only optical images but also physical variables such as the Digital Elevation Model (DEM), Synthetic Aperture Radar (SAR) and Normalized Difference Vegetation Index (NDVI). Recent foundation models (FMs) leverage pre-