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Swath-acquisition planning in multiple-satellite missions: an exact and heuristic approach

机译:多卫星任务中的条带捕获计划:一种精确且启发式的方法

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This paper deals with the swath acquisition planning problem for multisatellite Earth observation missions. Given a set of satellites and a mission time frame, the problem we solve consists of selecting a set of acquisitions from the satellites in order to cover a given region of interest during the requested time frame, optimizing a certain objective function.We show that the planning problem can be modeled as a set covering problem, using basic tools of mathematical programming. The formulation of the model requires the solution of a complex computational geometry problem, and therefore the use of heuristics and metaheuristics applies. In this paper, we discuss the efficiency of the constructive phase of a greedy randomized adaptive search procedure algorithm. Computational results comparing the heuristic algorithms with the exact approach are presented.
机译:本文讨论了多卫星地球观测任务的条带采集计划问题。给定一组卫星和一个任务时间框架,我们要解决的问题包括从卫星中选择一组采集数据,以便在请求的时间范围内覆盖给定的兴趣区域,并优化某个目标函数。使用数学编程的基本工具,可以将计划问题建模为覆盖问题的集合。模型的制定需要解决复杂的计算几何问题,因此适用启发式和元启发式方法。在本文中,我们讨论了贪婪随机自适应搜索过程算法的构造阶段的效率。给出了将启发式算法与精确方法进行比较的计算结果。

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