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A task merging algorithm of multiple imaging satellites based on consistent relationship

机译:基于一致性关系的多颗成像卫星任务融合算法

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摘要

Multi-satellite task merging can reduce the imaging number, which is significant to improve the imaging efficiency and save the energy. In this paper, to solve the task merging problem of multiple imaging satellites, considering point targets and area targets synthetically, the task merging relationships and constraints are analyzed. Introducing the concept of consistent relationship, multi-satellite task merging model with the objective of minimum energy consumption is constructed. A task merging algorithm of multiple imaging satellite based on consistent relationship is suggested. Finally, the feasibility and effectiveness of the algorithm are validated with some examples.
机译:多卫星任务合并可以减少成像数量,对提高成像效率和节省能源具有重要意义。为了解决多颗成像卫星的任务合并问题,综合考虑点目标和区域目标,分析了任务合并关系和约束条件。在引入一致性关系概念的基础上,构建了以最小能耗为目标的多卫星任务合并模型。提出了一种基于一致性关系的多成像卫星任务融合算法。最后,通过实例验证了该算法的可行性和有效性。

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