Chinese Optics Letters, Volume. 23, Issue 8, 080101(2025)

Remote sensing image restoration via atmospheric impact time-varying degraded physical models using neural networks

Xinyi Qin1, Hui Li1, Yan Lou1、*, Yongli Hu2, Yunbiao Liu3, and Wenxuan Lü1
Author Affiliations
  • 1National and Local Joint Engineering Research Center of Space Optoelectronics Technology, Changchun University of Science and Technology, Changchun 130022, China
  • 2Beijing Institute of Space Mechanics & Electricity, Beijing 100094, China
  • 3School of Computer Science and Technology, Changchun University of Science and Technology, Changchun 130022, China
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    Xinyi Qin, Hui Li, Yan Lou, Yongli Hu, Yunbiao Liu, Wenxuan Lü, "Remote sensing image restoration via atmospheric impact time-varying degraded physical models using neural networks," Chin. Opt. Lett. 23, 080101 (2025)

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    Paper Information

    Category: Atmospheric, Oceanic, Space, and Environmental Optics

    Received: Nov. 19, 2024

    Accepted: Mar. 26, 2025

    Posted: Mar. 26, 2025

    Published Online: Jul. 4, 2025

    The Author Email: Yan Lou (lyan@cust.edu.cn)

    DOI:10.3788/COL202523.080101

    CSTR:32184.14.COL202523.080101

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