Unmanned aerial vehicle cluster region segmentation method and system for electromagnetic target detection

The invention relates to the technical field of unmanned aerial vehicle region segmentation, in particular to an unmanned aerial vehicle cluster region segmentation method and system for electromagnetic target detection. The area of a task area distributed by each unmanned aerial vehicle in the initial scene is estimated in a to-be-searched area with the shortest path as the principle and based on an electromagnetic target detection model, and the to-be-searched area is represented as a polygon; according to the unmanned aerial vehicle cluster initial scene, unmanned aerial vehicle cluster region segmentation meeting a preset condition is obtained by adjusting the unmanned aerial vehicle task region area, and the preset condition is that the longest waiting time of unmanned aerial vehicle individuals in the unmanned aerial vehicle cluster task time is smaller than a preset time deviation threshold. Region segmentation is realized through the electromagnetic target detection unmanned aerial vehicle model and b