Research on integrated algorithm strategy of UAV intelligent image matching and target recognition and tracking

Aiming at the design problem of the integrated algorithm of autonomous location and target recognition and tracking of unmanned aerial vehicles (UAV) in the complex environment without satellites and unknown. In this work, we propose an integrated algorithm strategy of UAV intelligent image matching and target recognition and tracking. Based on the idea of the hybrid control system, and intelligent image matching algorithm, we combined the analysis results of the UAV target recognition and target tracking algorithm, and presented the integrated algorithm scheme of intelligent image matching and target recognition and tracking for UAV. Finally, in the aerial photography test scene of the S1000 six-rotor UAV, the superiority and feasibility of the proposed algorithm are verified. The experimental results show that the algorithm proposed in this paper can achieve autonomous positioning in a complex environment and track specific targets for a long time without relying on an external navigation system.