遥感卫星覆盖任意区域快速仿真算法研究
发布时间：2019-06-13 09:44
【摘要】：在轨卫星对地观测体系效能仿真涉及的卫星资源数量众多,任务范围大,以致仿真分析时的计算规模较大。在研究多星对指定区域的覆盖效能时,需要从体系仿真的角度构建合适的覆盖模型以及优化的仿真算法。首先分析了光学遥感卫星的几何定位原理,建立了遥感卫星的覆盖视场,提出简单有效的判定方法实现任意不规则区域网格点的划分,最后利用Multimap优化算法和K近邻搜索算法实现区域网格点的快速搜索统计。通过与传统搜索方法的对比实验表明这两种优化算法可以极大地提高网格点统计效率。
[Abstract]:The effectiveness simulation of in-orbit satellite to Earth observation system involves a large number of satellite resources and a large range of tasks, so that the calculation scale of simulation analysis is large. When studying the coverage efficiency of multiple stars to a specified area, it is necessary to construct a suitable coverage model and an optimized simulation algorithm from the point of view of system simulation. Firstly, the geometric positioning principle of optical remote sensing satellite is analyzed, the coverage field of view of remote sensing satellite is established, and a simple and effective decision method is proposed to divide the grid points in arbitrary irregular areas. finally, Multimap optimization algorithm and K nearest neighbor search algorithm are used to realize the fast search statistics of regional grid points. The comparison with the traditional search method shows that the two optimization algorithms can greatly improve the statistical efficiency of grid points.
【作者单位】： 北京航空航天大学自动化科学与电气工程学院;北京空间飞行器总体设计部;
【分类号】：V474.2
本文编号：2498437
[Abstract]:The effectiveness simulation of in-orbit satellite to Earth observation system involves a large number of satellite resources and a large range of tasks, so that the calculation scale of simulation analysis is large. When studying the coverage efficiency of multiple stars to a specified area, it is necessary to construct a suitable coverage model and an optimized simulation algorithm from the point of view of system simulation. Firstly, the geometric positioning principle of optical remote sensing satellite is analyzed, the coverage field of view of remote sensing satellite is established, and a simple and effective decision method is proposed to divide the grid points in arbitrary irregular areas. finally, Multimap optimization algorithm and K nearest neighbor search algorithm are used to realize the fast search statistics of regional grid points. The comparison with the traditional search method shows that the two optimization algorithms can greatly improve the statistical efficiency of grid points.
【作者单位】： 北京航空航天大学自动化科学与电气工程学院;北京空间飞行器总体设计部;
【分类号】：V474.2
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