In response to the challenges often encountered in current rockfill dam leakage detection methods,such as intricate equipment setup and complex data analysis,this paper proposed a method based on UAV and infrared thermographic imaging.The method combines techniques such as adaptive threshold segmentation and image morphological processing to intelligently identify leakage areas based on infrared images.To validate the feasibility of the method,field leakage inspection and identification were conducted at a reservoir in Jinhua City,using the parallel electric method as a corroborative tool.The findings suggest that our proposed methodology can autonomously and accurately identify leakage zones,substantially enhancing the efficiency and adaptability of leakage detection.This offers a feasible solution to the challenges of leakage inspection and identification in rockfill dams.
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