舰船目标运动状态光学卫星视频监测与估计

Optical satellite video can continuously monitor moving targets, which has become a current research hotspot. However, most of the current researches only focus on image-side object detection, tracking and trajectory extraction, and do not make full use of the imaging geometric parameters for high-precision quantitative estimation of the target motion state. To solve this problem, this paper proposes a method for quantitative estimation of ship target motion state based on optical satellite video. Firstly, the first frame of satellite video is accurately orientated. Then, the video is stabilized through inter-frame registration. Aiming at the problem of low positioning accuracy of the rectangular anchor tracking method, a robust tracking method for surface ships considering rotation and scale estimation is proposed for target tracking of satellite video. Finally, the geometric model is used to estimate the ground motion trajectory, speed and direction of the target through object mapping. The effectiveness of the method in this paper is verified by carrying out simultaneous observation experiments between satellites and ships on the sea based on Jilin-1 optical video satellite. Under the condition of sparse control points, the experimental results show that the geometric positioning accuracy of the ship target is 1.60 meters, the speed accuracy is 0.18 m/s, and the direction accuracy is 4.05°, which is significantly improved compared with similar methods.