A Novel Mission Planning Method for Remote Sensing Satellite

Yuqi Wang, Haiqiang Wang, Dan Liu, Xu Zhang, Xi Zhong, Xiaodong Han
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Abstract

For remote sensing mission planning problem, we establish the discretization of the mission planning model. We put forward disjoint set segmentation method of remote sensing satellite mission planning. We use disjoint set segmentation algorithm to segment large-scale problem of mission planning into several subproblems. At the same time, we improve the solving efficiency and guarantee the solving quality. The simulation results show that compared with the traditional mixed integer programming algorithm, the method based on disjoint set segmentation shows good practicability and optimization effect. The method can reduce the solving time of the model by about 50%.
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一种新的遥感卫星任务规划方法
针对遥感任务规划问题,建立了离散化的任务规划模型。提出了遥感卫星任务规划的不相交集分割方法。采用不相交集分割算法将大规模任务规划问题分割为若干子问题。同时提高了求解效率,保证了求解质量。仿真结果表明,与传统的混合整数规划算法相比,基于不相交集分割的方法具有较好的实用性和优化效果。该方法可将模型的求解时间缩短约50%。
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