AI RESEARCH
Physics-Guided VLM Priors for All-Cloud Removal
arXiv CS.CV
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ArXi:2603.07074v1 Announce Type: new Cloud removal is a fundamental challenge in optical remote sensing due to the heterogeneous degradation. Thin clouds distort radiometry via partial transmission, while thick clouds occlude the surface. Existing pipelines separate thin-cloud correction from thick-cloud reconstruction, requiring explicit cloud-type decisions and often leading to error accumulation and discontinuities in mixed-cloud scenes.