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Proceedings Paper

Research on demand decomposition technology of moving targets
Author(s): Meiqing Liu; Yue Gao; Chenguang Zhao; Yuchao Wang; Pengcheng Qin
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Paper Abstract

Proposed a dynamic decomposition technique for moving target observation task based on user requirements in the multi-satellite joint planning system. Carried out the research of moving target search algorithm based on dynamic update of grid target distribution probability. Realized the task decomposition of moving target observation supported by space-based information in the phase of monitoring and target searching. The key point of the algorithm is to consider the combination of multiple satellite observation bands in the process of multi-type satellite coordination, so that the coverage observation probability of multiple satellite observation bands is the maximum.

Paper Details

Date Published: 31 January 2020
PDF: 8 pages
Proc. SPIE 11427, Second Target Recognition and Artificial Intelligence Summit Forum, 114272K (31 January 2020);
Show Author Affiliations
Meiqing Liu, Space Star Technology Co., Ltd. (China)
Yue Gao, Space Star Technology Co., Ltd. (China)
Chenguang Zhao, Space Star Technology Co., Ltd. (China)
Yuchao Wang, Space Star Technology Co., Ltd. (China)
Pengcheng Qin, Space Star Technology Co., Ltd. (China)


Published in SPIE Proceedings Vol. 11427:
Second Target Recognition and Artificial Intelligence Summit Forum
Tianran Wang; Tianyou Chai; Huitao Fan; Qifeng Yu, Editor(s)

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