Research on target detection based on clustering and Hough transform

Yanpeng Luo; Jinyu Xiong; Yuxiang Yang; Mingjun Zhu; Tongxin Zhang; Haibing Cheng

doi:10.1117/12.2656846

13 January 2023 Research on target detection based on clustering and Hough transform

Yanpeng Luo, Jinyu Xiong, Yuxiang Yang, Mingjun Zhu, Tongxin Zhang, Haibing Cheng

Proceedings Volume 12510, International Conference on Statistics, Data Science, and Computational Intelligence (CSDSCI 2022); 125101B (2023) https://doi.org/10.1117/12.2656846
Event: International Conference on Statistics, Data Science, and Computational Intelligence (CSDSCI 2022), 2022, Qingdao, China

Abstract

Formation target track sorting is an important problem in multi-target track processing. Unlike the processing of periodic scans and point tracks of active radar, passive positioning data has the problems of irregular positioning period and difficulty in distinguishing multiple targets by target signal attributes. In this paper, we propose a track initiation algorithm for passive positioning system based on density clustering and Hough transform for the characteristics of passive positioning system. The algorithm first uses the density clustering algorithm to identify the cluster centers of targets with large measurement errors, and then uses the Hough transform method to initiate a track.

Citation Download Citation

Yanpeng Luo, Jinyu Xiong, Yuxiang Yang, Mingjun Zhu, Tongxin Zhang, and Haibing Cheng "Research on target detection based on clustering and Hough transform", Proc. SPIE 12510, International Conference on Statistics, Data Science, and Computational Intelligence (CSDSCI 2022), 125101B (13 January 2023); https://doi.org/10.1117/12.2656846

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