Research on Air-to-Ground Cooperative Target Recognition Based on Fuzzy Integral Decision Level Fusion
Aiming at the problems of low efficiency and high false alarm rate when UAV or unmanned vehicle is used alone to detect and identify target areas,several methods of information fusion at decision level are analyzed,an improved decision-level air-to-ground information fusion target recognition method based on fuzzy integral is proposed.The target type,location,threat degree,damage degree and other information of air-ground cooperative detection are fused to identify and output.The simulation results show that the algorithm effectively improves the target information,improves the accuracy of target characteristic information recognition,and reduces the false alarm rate.
万方数据
维普
