基于YOLO的星-机协同目标检测方法

A Satellite-UAV Cooperative Target Detection Method Based on YOLO

针对待检测区域大,单一使用卫星或无人机检测将分别导致检测精度低及检测速度慢的问题,提出了一种基于YOLO检测模型的“卫星-无人机”协同目标检测方法。首先,使用搭载通道裁剪的YOLOv4-tiny模型的卫星,在大范围区域中对含目标区域进行快速初步筛查;其次,对筛查到含有目标的区域,调动搭载四尺度检测分支的YOLOv4模型的无人机,对含目标区域进一步精确检测。通过实验分析可知,改进的YOLOv4-tiny模型可以更快地对大范围区域进行筛查,改进的YOLOv4模型对筛查出来的含目标区域检测精度更高,使用卫星和无人机协同检测能够有效将前者的“快”和后者的“准”结合起来,提高检测效率。

Regarding the problem that when the area to be detected is large,the use of satellite or Unmanned Aerial Vehicle(UAV) alone will lead to the problems of low detection accuracy and slow detection speed respectively,a cooperative target detection method of “satellite-UAV” based on YOLO detection model is proposed.Firstly,the satellite equipped with YOLOv4-tiny model with channel pruning is used to quickly and preliminarily screen the target area in a large area.Secondly,the UAV equipped with YOLOv4 model with four-scale detection branches is mobilized to further accurately detect the areas containing the targets.The experimental analysis shows that the improved YOLOv4-tiny model can screen large-scale areas faster,and the improved YOLOv4 model has higher detection accuracy for the screened areas with targets.The cooperative detection of satellite and UAV can effectively combine the “fast” of the former with the “accurate” of the latter,and improve the detection efficiency.