对地观测卫星协同观测区域目标方法研究

Cooperate Method of Planning Area Target for Earth Observation Satellite

对地观测区域目标分割与优选问题是多星协同观测区域目标规划过程中的一个重要环节。采用卫星或遥感器侧摆能力的区域目标动态分割算法,并结合贪婪优化算法对分割结果进行优化规划,在规划过程中依据建立的全球网格参考系统可以方便、高效地计算目标覆盖率,进行实时效能评估以对分割方式进行反馈调整,保证区域目标分割结果最优。依据提出的算法设计了包含三颗对地卫星和一个区域观测目标的应用场景进行实例仿真,并得出了较为理想的仿真结果。

Dynamic partitioning target area algorithm is the key step during Earth observation satellites planning and scheduling.In this paper,a method of dynamic partitioning target area based on satellite remote sensors actual side swing ability was proposed and combined with the optimization greedy algorithm to optimize the planning of the partitioning result.In the planning process,calculation of target area mapping coverage rate is easy and efficient based on the establishment of the Global Grid Reference System.So we can evaluate the partition result by real-time mapping rate feedback to adjust the partitioning approach and ensure to get the optimal result.The paper also designed a simulation scenarios containing three satellites and a big target area.The simulation process of the dynamic partitioning area target algorithm was introduced and came to a more ideal simulation results.