【摘要】 光学卫星视频能够进行动目标连续监视，已成为当前研究热点。但目前多数研究仅针对基于视频像方的目标检测、跟踪及轨迹提取等方面，没有充分利用卫星载荷成像几何模型进行物方运动状态定量估计和精度验证。因此，本文提出一种基于光学卫星视频的舰船目标运动状态定量估计方法，首先对卫星视频首帧进行精确定向；然后通过帧间稳像方法得到背景稳定的视频帧序列，在此基础上，针对正框目标跟踪方法定位精度低的问题，提出一种顾及旋转和尺度变化的舰船稳健跟踪方法进行目标跟踪；最后进行物方映射并估计目标运动轨迹、速度和方向。利用吉林一号光学视频卫星开展星海同步观测试验。实测结果表明，稀疏控制条件下的舰船目标几何定位精度为1.60 m,速度估计精度为0.18 m/s,方向估计精度为4.05°,相比同类方法具有显著提升，证明了本文方法的有效性和可行性。更多还原

【Abstract】 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.更多还原