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A Task Clustering Method for Multi Agile Satellite Based on Clique Partition

机译:基于派系划分的多敏捷卫星任务聚类方法

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Agile satellites are platforms equipped with optical instruments that orbit the earth to take photographs of special areas at user's requests. Compared with a large number of user's requests, satellite resources are scarce. It would be a waste if satellite imaging all areas one by one. For some areas, they can be imaged by the same satellite with the same observation strip, namely, they can be clustered into a cluster-task. Therefore, we need a mechanism which can help us find the cluster-tasks out to save satellite resource. Firstly, we analyze the importance and research status of task clustering. Secondly, we analyze the related constraints that task clustering should satisfy. Thirdly, we construct a task clustering graph model and designed an algorithm for task clustering. Finally, an experiment simulation was given out, which demonstrate our algorithm to be effective.
机译:敏捷卫星是指配备有光学仪器的平台,这些仪器可以绕地球旋转以根据用户的要求拍摄特殊区域的照片。与大量用户的请求相比,卫星资源是稀缺的。如果卫星对所有区域进行一次成像,那将是一种浪费。对于某些区域,它们可以由具有相同观察带的同一颗卫星成像,即可以将它们聚类为一个聚类任务。因此,我们需要一种机制来帮助我们找出集群任务以节省卫星资源。首先,我们分析了任务聚类的重要性和研究现状。其次,我们分析了任务聚类应满足的相关约束。第三,构建任务聚类图模型,设计任务聚类算法。最后,给出了一个仿真实验,证明了该算法的有效性。

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