Optical Technique, Volume. 51, Issue 1, 72(2025)

Research on point target recognition technology based on motion features

ZHU Lujie1,2,3, LIU Fan1, ZHENG Wei1,2, LIU Qiong3, HE Shifeng3, and LIU Xuefeng1,2、*
Author Affiliations
  • 1The National Space Science Center (NSSC) of the Chinese Academy of Sciences (CAS), Beijing 100190, China
  • 2University of the Chinese Academy of Sciences, Beijing 100049, China
  • 3Hunan University of Science and Technology, Xiangtan 411201, China
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    References(5)

    [1] [1] Povilas G, Olga K, Vytenis D, et al. Deep learning-based object recognition in multispectral satellite imagery for real-time applications[J].Machine Vision and Applications,2021,32(4):98—98.

    [3] [3] Manvinder S, Harjinder S, Kumar A G, et al. Target identification and control model of autopilot for passive homing missiles[J].Multimedia Tools and Applications,2023,83(20):58465—58494.

    [7] [7] Hai-Feng Z, Jian-Tao H, Wei-Dong J, et al. A method based on the multispectral to extract features and recognize space point target[J].Optoelecfronic Technology,2005,25(1):16—20.

    [12] [12] Xiao Yu, Xiaojie Liang, Zijie Zhou, et al. Multi-task learning for hand heat trace time estimation and identity recognition[J].Expert Systems with Applications,2024,255:124551.

    [13] [13] Xiao Yu, Xiaojie Liang, Zijie Zhou, et al. Deep soft threshold feature separation network for infrared handprint identity recognition and time estimation[J]. Infrared Physics & Technology,2024,138:105223,

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    ZHU Lujie, LIU Fan, ZHENG Wei, LIU Qiong, HE Shifeng, LIU Xuefeng. Research on point target recognition technology based on motion features[J]. Optical Technique, 2025, 51(1): 72

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    Paper Information

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    Received: Aug. 20, 2024

    Accepted: Feb. 18, 2025

    Published Online: Feb. 18, 2025

    The Author Email: Xuefeng LIU (liuxuefeng@nssc.ac.cn)

    DOI:

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