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Research questionHow can disaster mapping combine satellite and street-view imagery for fast, interpretable cross-hazard assessment without extensive annotation?Emergency responders need reliable maps soon after disasters, but imagery varies across locations and hazards. Manual annotation and reliance on a single observation source can slow mapping and limit generalization.
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Image & Video Processing
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Latest papersRecent research connected to this question, newest first.RAPIDMap: Rapid Multi-Agent Pipeline for Interpretable Disaster Mapping from Satellite and Street-view ImageryThe source describes RAPIDMap, a zero-shot multi-agent pipeline that analyzes satellite and street-view imagery through perception, image restoration, damage recognition, and mapping stages. It is reported to generate interpretable, map-ready outputs and recovery recommendations without manual fine-tuning; the supplied evidence does not specify deployment constraints or the extent of validation.research paper · Sep 2, 2026
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