Infrared and Laser Engineering, Volume. 51, Issue 8, 20210914(2022)

Infrared small target detection method based on the improved weighted enhanced local contrast measurement

Xiaofeng Lu, Xiaofei Bai, Sixun Li, Xuan Wang, and Xinhong Hei
Author Affiliations
  • Department of Computer Science and Engineering, Xi’an University of Technology, Xi’an 710048, China
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    References(19)

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    [8] Y T Wei, X G You, H Li. Multiscale patch-based contrast measure for small infrared target detection. Pattern Recognition, 58, 216-226(2016).

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    [11] H Deng, X P Sun, M Liu, et al. Entropy-based window selection for detecting dim and small infrared targets. Pattern Recognition, 61, 66-77(2017).

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    [13] J Y Nie, S C Qu, Y T Wei, et al. An infrared small target detection method based on multiscale local homogeneity measure. Infrared Physics & Technology, 90, 186-194(2018).

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    [1] Siyu Wang, Xiaogang Yang, Ruitao Lu, Qingge Li, Jiwei Fan, Zhengjie Zhu. Infrared time-sensitive target detection technology based on cross-modal data augmentation[J]. Infrared and Laser Engineering, 2023, 52(9): 20220876

    [2] Guang Zhai, Shengran Hu, Yiyong Sun. Research on LSTM method of high dynamic dim and small targets detection for space-based infrared early warning[J]. Infrared and Laser Engineering, 2023, 52(10): 20230010

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    Xiaofeng Lu, Xiaofei Bai, Sixun Li, Xuan Wang, Xinhong Hei. Infrared small target detection method based on the improved weighted enhanced local contrast measurement[J]. Infrared and Laser Engineering, 2022, 51(8): 20210914

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    Paper Information

    Category: Infrared technology and application

    Received: Nov. 29, 2021

    Accepted: --

    Published Online: Jan. 9, 2023

    The Author Email:

    DOI:10.3788/IRLA20210914

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