Research on demand decomposition technology of moving targets

Meiqing Liu; Yue Gao; Chenguang Zhao; Yuchao Wang; Pengcheng Qin

doi:10.1117/12.2552379

31 January 2020 Research on demand decomposition technology of moving targets

Meiqing Liu, Yue Gao, Chenguang Zhao, Yuchao Wang, Pengcheng Qin

Proceedings Volume 11427, Second Target Recognition and Artificial Intelligence Summit Forum; 114272K (2020) https://doi.org/10.1117/12.2552379
Event: Second Target Recognition and Artificial Intelligence Summit Forum, 2019, Changchun, China

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.

Citation Download Citation

Meiqing Liu, Yue Gao, Chenguang Zhao, Yuchao Wang, and Pengcheng Qin "Research on demand decomposition technology of moving targets", Proc. SPIE 11427, Second Target Recognition and Artificial Intelligence Summit Forum, 114272K (31 January 2020); https://doi.org/10.1117/12.2552379

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