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Laser & Optoelectronics Progress, Volume. 56, Issue 6, 061101(2019)

Quality Assessment of Remote Sensing Images Based on Deep Learning and Human Visual System

Di Liu and Yingchun Li*
Author Affiliations
  • Department of Electronic and Optical Engineering, Space Engineering University, Beijing 101416, China
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    Article index updated: Sep. 12, 2025

    The article is cited by 4 article(s) CLP online library. (Some content might be in Chinese.)
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    Di Liu, Yingchun Li. Quality Assessment of Remote Sensing Images Based on Deep Learning and Human Visual System[J]. Laser & Optoelectronics Progress, 2019, 56(6): 061101

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    Paper Information

    Category: Imaging Systems

    Received: Sep. 18, 2018

    Accepted: Sep. 30, 2018

    Published Online: Jul. 30, 2019

    The Author Email: Yingchun Li (13910953181@139.com)

    DOI:10.3788/LOP56.061101

    Topics

    laser devices and laser physics
    Lasers and Laser Optics
    Laser physics
    laser manufacturing
    Instrumentation, Measurement and Metrology