成像卫星对区域目标协同观测问题研究

Research on multi-satellites cooperative observation on polygons

分析了多颗成像卫星对区域目标的协同观测问题的特点,提出了基于星载遥感器的幅宽、侧摆能力以及卫星轨道参数的动态区域划分方法,该方法能够根据卫星参数及偏移参数动态划分候选观测场景,从而充分利用卫星每次过境的观测机会,特别适用于不同卫星协同观测的情况。在此基础上建立了多星对区域目标的协同观测问题模型,该模型采用总体覆盖率来衡量观测效率,消除了不同卫星对区域目标观测的交叉重叠带来的影响。最后提出了模型求解的模拟退火算法。仿真实验表明,本文提出的方法能够有效提高多星对区域目标的协同观测效率。

Coordinating muhi-satellites observing on polygon targets is studied. A novel method on segmenting polygon target is proposed based on the characteristics of sensor and observing target. The factors such as satellite orbit, sensor geometry and slewability are considered in the method. It can utilize the satellites＇ observing chance, and generate multiple observing scenes for each satellite. It is effective for polygon observing with multiple satellites, especially for the satellites with different orbit tracks and different observing modes. The multi-satellites observing model and algorithm are present in article. For swaths observed by different satellites are overlapped, the overlap observing cannot improve the profit; we evaluate the observing scheme by polygon coverage ratio to eliminate the overlap influence. Experiments show this approach can improve the efficiency of polygon targets observing.