【摘要】 目前大型水利工程的监管能力较为薄弱，不能很好满足水利工程精准化与高效化管理需求，亟待加强卫星遥感与人工智能结合的新型监测技术的研究与应用。针对存在问题，以国产高分系列卫星数据（GF1、GF2、GF6、GF7）为主源，充分考虑不同大型水利工程施工过程及场景的差异性，基于人工智能算法，对典型水工建筑物（大坝、溢洪道、水闸）进行遥感智能识别，对典型施工阶段（场地平整、基础开挖、混凝土浇筑、土方填筑）进行信息提取与变化检测，动态监督工程施工过程，可有效提升水利工程遥感监测精度和智能化水平。更多还原

【Abstract】 Current supervision capabilities for large-scale hydraulic engineering projects is relatively insufficient,falling to meet the requirements for precise and e ffi cient project management. There is an urgent need to advance and apply novel monitoring technologies that integrate satellite remote sensing with artifi cial intelligence. In response,this study primarily utilized data from domestic Gaofen series satellites(GF1,GF2,GF6,and GF7),fully considering the differences in construction processes and scenarios of various large-scale hydraulic engineering projects. By employing artificial intelligence algorithms,the study enabled intelligent remote sensing–based identification of typical hydraulic structures(such as dams,spillways,and sluice gates),as well as information extraction and change detection for typical construction phases(including site leveling,foundation excavation,concrete pouring,and earthwork fi lling),to dynamically monitor construction activities and signifi cantly improved both the accuracy and the level of automation in monitoring hydraulic engineering projects.更多还原