AI RESEARCH
SPEX: A Vision-Language Model for Land Cover Extraction on Spectral Remote Sensing Images
arXiv CS.CV
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ArXi:2508.05202v2 Announce Type: replace Spectral information has long been recognized as a critical cue in remote sensing observations. Although numerous vision-language models have been developed for pixel-level interpretation, spectral information remains underutilized, resulting in suboptimal performance, particularly in multispectral scenarios.