6G has introduced integrated sensing and communication (ISAC) technology, which is one of the core technologies for the next-generation communication networks. In this paper, we propose an efficient sensing method for multiple moving targets in a 6G ISAC unmanned aerial vehicle (UAV) system. Firstly, we establish an integrated channel model for multi-user communication and multi-moving-target sensing. Secondly, we design the ISAC signal and analyze the target echo signal. We propose a multiple moving-target sensing method to achieve the joint accurate estimation of the target angle of departure (AOD), radial velocity, and distance. Specifically, to solve the problems of limited-angle scanning resolution and grid error in parameter estimation, we adopt the weighted fusion interpolation algorithm and the iteratively reweighted compressed sensing (CS) algorithm to optimize the parameter estimation performance of multiple moving targets. Finally, extensive simulation results verify the effectiveness of the proposed method.