Abstract: Focusing on the problems of fragmented video data, variable camera angles and low pixel quality of the existing public aircraft carrier surface support operations, we propose a multi-source video data-driven 3D reconstruction method for ship surface support operations. Firstly, we predict the trajectory direction of the objects in the videos. Then we use the methods of similarity correlation, feature trajectory segmentation, and trajectory clustering to extract/correlate/fuse features in multi-source data. Finally, we integrate the above and realize a realistic three-dimensional reconstruction. The results of experiments and user study on the MOT20 dataset and the public video data of ship surface support operations show that the proposed method can obtain credible 3D reconstruction effects of ship surface support operations.