The invention provides a target trajectory optimization method based on a DS evidence theory, and the method comprises: a data collection device obtaining multi-target information, and outputting a target coordinate position, a posture, a trajectory and a high-low resolution image set; constructing a generative adversarial network to reconstruct a simulation target, and outputting a simulation high-low resolution image set of the coordinate position, posture and track of the simulation target and a real target; detecting a key frame calculation feature repetition rate, constructing a dictionary judgment loop based on the two-dimensional high-low resolution image set and the three-dimensional target RGB point cloud, and realizing trajectory optimization; establishing a sample matrix to represent an output trajectory, including a real target trajectory, a generative adversarial network output simulation target trajectory, and an optimized trajectory after loopback detection; and performing correctness judgment on the trajectory based on the spatial features, the image features and the trajectory information by utilizing a DS evidence theory, and outputting an optimal trajectory. Theoptimal trajectory is output, and accurate information is provided for unmanned control, target recognition and detection, region detection, path planning and the like.