预处理是多星协同对区域目标观测调度过程的一个重要组成部分,为建模与求解提供若干备选的元任务,其核心内容是区域目标分解和时间窗口计算.根据卫星轨道特征和星载遥感器的观测能力,提出了卫星对区域目标观测的动态分解方法.通过分析卫星观测范围与区域目标的空间几何关系,提出了卫星对区域目标观测的时间窗口计算方法. 算例表明,基于卫星观测能力的区域 目标动态分解方法能够提高多星协同观测效率,实验结果验证了基于MapX的时间窗口计算方法的有效性.

Preprocessing is an important part of multi-satellite scheduling process towards area target, which has been designed to generate meta-tasks for modeling and solving. In this paper, we present a MapX-based preprocessing approach for multi-satellite cooperative observation towards area target. The proposed approach consists of a dynamic segmenting method of area target and a calculating method of access time windows. The former considers the characteristics of satellite orbit and the slew capability of sensor, the latter takes into account the space geometry relationship between coverage and area target. Experimental results show the proposed approach can improve the efficiency of multi-satellite cooperative observation.