Unmanned aerial vehicle navigation method for multi-vehicle cooperative target tracking

The invention relates to an artificial intelligence technology, and discloses an unmanned aerial vehicle navigation method for multi-vehicle cooperative target tracking, which comprises the following steps: acquiring a remote sensing video and position information of a current area of an unmanned aerial vehicle, performing framing operation on the remote sensing video to obtain an initial motion frame sequence, and performing feature enhancement on the initial motion frame sequence through an image enhancement technology to obtain an initial motion frame sequence; the method comprises the following steps: acquiring an enhanced motion frame sequence, acquiring a target feature image set containing a plurality of tracking targets and obstacles to search for the tracking targets and mark the obstacles influencing flight, and re-detecting the targets which fail in detection by using historical information to obtain a target feature image set containing the plurality of tracking targets and the obstacles. The othe