基于全球网格的卫星成像区域目标规划算法

Regional Target Planning Algorithm of Satellite Imaging Based on Global Grid

针对多颗成像对某一特定区域协同观察的问题,提出了一种基于全球网格的区域目标规划算法。考虑到卫星幅宽、网格数据更新速度、条带计算精度等因素,采用军用分幅标准对全球进行网格划分,选定1∶50000作为基准比例尺,并采用网格金字塔实现条带计算精度和网格可见性数据更新速度的平衡;通过并行多节点的点目标访问,计算特定时间段内全球网格的观测可能性,并记录所有网格的可见时刻及对应的卫星姿态信息;按照覆盖面积最大、单次成像最优、加权最优等规则通过贪婪算法依时间顺序选定不同条带,生成对应的协同方案。文章针对不同大小的区域设计了3个试验进行仿真,结果表明:该算法能适应不同大小区域的多星协同观测,反应速度能够达到10秒量级,可为多卫星区域协同观测设计提供参考。

Aiming at the problem of cooperative observation of multiple imaging satellites on a specific area,a regional target planning algorithm based on global grid is proposed.The algorithm meshes the world with military framing standards,choose 1∶50000 as the reference scale considering factors such as imaging width of satellites,the updating speed of grid data,and the calculation accuracy of strip,and the balance between the accurate accuracy of the strip and the updating speed of grid visibility data is realized by the concept of grid pyramid;calculate the observation possibility of global grid within a certain time period through point target access with parallel and multiple nodes,and record the visible moments of all grids and corresponding satellite attitude information;in accordance with largest coverage area,single optimal imaging,and optimal weight,select different strips in chronological order by greedy algorithm,and generate the corresponding collaborative scheme.In this paper,three experiments are designed to simulate with different size regions.The experimental results demonstrate that the algorithm can adapt to multi-satellite cooperative observation with different size regions and the reaction speed reaches the order of 10 seconds,which can provide a reference for the design of multi-satellite regional cooperative observation.