Design of Target Behavior Intelligent Analysis System Based on Distributed Computing

Xinlong Pan, Xueqi Cheng, Libo Yao, Zhenqiu Zhu, Biao Ding, Tiantian Tang, Minbo Li, Chuanhui Liu · 2019 IEEE International Conference on Signal, Information and Data Processing (ICSIDP) · 2019

Through the fusion processing of target data obtained by radar, electronic reconnaissance, space reconnaissance, technical reconnaissance and civil cooperative system in early warning and surveillance system, multidimensional target data including explicit state information such as target attributes, type, position, speed and course could be obtained. The latent potential information, such as regular behavior, intention and threat degree, need to be mastered by human intelligence and experience analysis. It is urgent to use big data mining technology to realize intelligent analysis of target behavior. Based on the analysis of big data related technologies, this paper designs an intelligent target behavior analysis system based on distributed computing, which provides theoretical and technical support for intelligent upgrading of intelligence processing systems and command decision systems.

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