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    Journals >Laser & Optoelectronics Progress >Volume 60 >Issue 10 >Page 1028003 > Article
    • Laser & Optoelectronics Progress
    • Vol. 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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    DOI: 10.3788/LOP220432 Cite this Article Set citation alerts
    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 Copy Citation Text show less
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    Article index updated: Apr. 2, 2025
    The article is cited by 2 article(s) CLP online library. (Some content might be in Chinese.)
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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
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