AI RESEARCH
Task-Driven Prompt Learning: A Joint Framework for Multi-modal Cloud Removal and Segmentation
arXiv CS.CV
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ArXi:2601.12052v2 Announce Type: replace Optical remote sensing imagery is indispensable for Earth observation, yet persistent cloud occlusion limits its downstream utility. Most cloud removal (CR) methods are optimized for low-level fidelity and can over-smooth textures and boundaries that are critical for analysis-ready data (ARD), leading to a mismatch between visually plausible restoration and semantic utility. To bridge this gap, we propose TDP-CR, a task-driven multimodal framework that jointly performs cloud removal and land-cover segmentation.