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Laser & Optoelectronics Progress, Volume. 59, Issue 16, 1628008(2022)

Ship Classification and Detection Method for Optical Remote Sensing Images Based on Improved YOLOv5s

Qikai Zhou1, Wei Zhang1, Dongjin Li2, and Fu Niu1、*
Author Affiliations
  • 1Academy of Systems Engineering of Academy of Military Science of Chinese PLA, Beijing 100071, China
  • 2Beijing Institute of Control and Electronic Technology, Beijing 100038, China
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    Article index updated: Sep. 7, 2025

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    Qikai Zhou, Wei Zhang, Dongjin Li, Fu Niu. Ship Classification and Detection Method for Optical Remote Sensing Images Based on Improved YOLOv5s[J]. Laser & Optoelectronics Progress, 2022, 59(16): 1628008

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    Paper Information

    Category: Remote Sensing and Sensors

    Received: Dec. 29, 2021

    Accepted: Feb. 25, 2022

    Published Online: Aug. 8, 2022

    The Author Email: Fu Niu (niufu@vip.sina.com)

    DOI:10.3788/LOP202259.1628008

    Topics

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