RESEARCH ON LANDSLIDE RECOGNITION ALGORITHM OF GF-2 REMOTE SENSING IMAGE BASED ON IMPROVED YOLOV7
In order to quickly and accurately identify landslide geological hazards,we propose a lightweight landslide detection model based on YOLOv7.The experimental results show that the overall mAP of the improved YOLOv7 network model reaches 94.6%.Compared with the original YOLOv7 network model,the parameter and calculation amount have been reduced by 20.8M and 47.3G,respectively,while the overall mAP0.5 and the detection speed FPS have been increased by 3.8%and 14.3 f/s,respectively,indicating that the model has excellent detection performancefor landslide disasters.
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