遙感衛(wèi)星覆蓋任意區(qū)域快速仿真算法研究
發(fā)布時間:2019-06-13 09:44
【摘要】:在軌衛(wèi)星對地觀測體系效能仿真涉及的衛(wèi)星資源數(shù)量眾多,任務(wù)范圍大,以致仿真分析時的計算規(guī)模較大。在研究多星對指定區(qū)域的覆蓋效能時,需要從體系仿真的角度構(gòu)建合適的覆蓋模型以及優(yōu)化的仿真算法。首先分析了光學(xué)遙感衛(wèi)星的幾何定位原理,建立了遙感衛(wèi)星的覆蓋視場,提出簡單有效的判定方法實現(xiàn)任意不規(guī)則區(qū)域網(wǎng)格點的劃分,最后利用Multimap優(yōu)化算法和K近鄰搜索算法實現(xiàn)區(qū)域網(wǎng)格點的快速搜索統(tǒng)計。通過與傳統(tǒng)搜索方法的對比實驗表明這兩種優(yōu)化算法可以極大地提高網(wǎng)格點統(tǒng)計效率。
[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.
【作者單位】: 北京航空航天大學(xué)自動化科學(xué)與電氣工程學(xué)院;北京空間飛行器總體設(shè)計部;
【分類號】:V474.2
本文編號: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.
【作者單位】: 北京航空航天大學(xué)自動化科學(xué)與電氣工程學(xué)院;北京空間飛行器總體設(shè)計部;
【分類號】:V474.2
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