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Laser & Optoelectronics Progress, Volume. 60, Issue 10, 1028003(2023)

RA-ProtoNet: Classification Based on Meta-Learning for Few-Shot Remote Sensing Scene

Qi He1, Jinyuan Zhang1, Dongmei Huang3, Yanling Du1, and Huifang Xu1,2、*
Author Affiliations
  • 1College of Information, Shanghai Ocean University, Shanghai 201306, China
  • 2College of Information Technology, Shanghai Jian Qiao University, Shanghai 201306, China
  • 3Shanghai University of Electric Power, Shanghai 200090, China
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    Article index updated: Sep. 6, 2025

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    Qi He, Jinyuan Zhang, Dongmei Huang, Yanling Du, Huifang Xu. RA-ProtoNet: Classification Based on Meta-Learning for Few-Shot Remote Sensing Scene[J]. Laser & Optoelectronics Progress, 2023, 60(10): 1028003

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    Paper Information

    Category: Remote Sensing and Sensors

    Received: Jan. 4, 2022

    Accepted: Jan. 28, 2022

    Published Online: May. 17, 2023

    The Author Email: Huifang Xu (17069@gench.edu.cn)

    DOI:10.3788/LOP220432

    Topics

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