Acta Optica Sinica, Volume. 45, Issue 15, 1510004(2025)

Deep Learning-Based Polarization Image Fusion for Sparse Aperture Optical Systems

Xiyu Liu1,3, Jun Wang1、*, Quanying Wu1、**, Junliu Fan1, Baohua Chen1, Zhixiang Li1,2, and An Xu1,2
Author Affiliations
  • 1Key Laboratory of Efficient Low-Carbon Energy Conversion and Utilization of Jiangsu Provincial Higher Education Institutions, School of Physical Science and Technology, Suzhou University of Science and Technology, Suzhou 215009, Jiangsu , China
  • 2Jiangsu Province Graduate Workstation, Suzhou FOIF Co., Ltd., Suzhou 215006, Jiangsu , China
  • 3Jiangsu Province Graduate Workstation, Zhangjiagang Optical Instrument Co., Ltd., Suzhou 215616, Jiangsu , China
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    References(22)

    [2] Ma X F, Yang K Y, Ma H T et al. Research on co-phasing closed-loop experiment for optical synthetic aperture using deep learning[J]. Chinese Journal of Lasers, 51, 1317001(2024).

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    [8] Fan D D. Research on dynamic variable array method and image restoration algorithm of sparse optical synthetic aperture[D](2023).

    [9] Wang L J, Zhao H L, Zhu Y et al. Underwater polarization image fusion research based on multiscale transformation[J]. Applied Laser, 38, 842-846(2018).

    [10] Feng R, Yuan H W, Zhou Y Y et al. Fusion method for polarization direction image based on double-branch antagonism network[J]. Infrared Technology, 46, 288-294(2024).

    [14] Gan X Y, Bai Y, He X D et al. A parallel algorithm for connected component labeling in binary images[J]. Computer & Digital Engineering, 49, 993-997, 1002(2021).

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    Xiyu Liu, Jun Wang, Quanying Wu, Junliu Fan, Baohua Chen, Zhixiang Li, An Xu. Deep Learning-Based Polarization Image Fusion for Sparse Aperture Optical Systems[J]. Acta Optica Sinica, 2025, 45(15): 1510004

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    Paper Information

    Category: Image Processing

    Received: Mar. 13, 2025

    Accepted: May. 8, 2025

    Published Online: Aug. 15, 2025

    The Author Email: Jun Wang (wjk31@163.com), Quanying Wu (wqycyh@usts.edu.cn)

    DOI:10.3788/AOS250738

    CSTR:32393.14.AOS250738

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