RAPIDMap：基于多智能体的快速可解释灾害制图管道
原标题：RAPIDMap: Rapid Multi-Agent Pipeline for Interpretable Disaster Mapping from Satellite and Street-view Imagery
AI 摘要
RAPIDMap 是一个由 Texas A&M University 提出的多智能体管道，用于从卫星和街景图像中快速生成可解释的灾害地图。该系统通过四个智能体（DPA、IRA、DRA、DMA）实现零样本灾害识别、图像恢复、损伤识别和空间映射，无需人工标注或微调。研究在多种灾害场景中验证了其泛化能力，旨在提升灾害响应的速度和准确性。
正文节选
[Page 1] CaGIS Conference 2026, Sept 8-11, 2026. St. Louis, MO, USA RAPIDMap: Rapid Multi-Agent Pipeline for Interpretable Disaster Mapping from Satellite and Street-view Imagery Yifan Yang 1, Lei Zou 1,* 1 Department of Geography, Texas A&M University, College Station, TX, USA * lzou@tamu.edu Keywords: damage assessment, disaster mapping, large language models, multi-agent systems, remote sensing, street-view imagery Introduction As natural hazards be