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    • Hyperspectral image cross-domain few-shot classification based on disentangled confidence prototype network

    • Experts propose a cross domain small sample classification method based on decoupled confidence prototype network to address the challenge of HSI classification in hyperspectral images, providing new ideas for improving classification performance.
    • Vol. 30, Issue 1, Pages: 156-169(2026)   

      Received:27 May 2024

      Published:07 January 2026

    • DOI: 10.11834/jrs.20253151     

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  • Wang X S,Jiang W C,Kong Y and Cheng Y H. 2026. Hyperspectral image cross-domain few-shot classification based on disentangled confidence prototype network. National Remote Sensing Bulletin, 30(1):156-169 DOI: 10.11834/jrs.20253151.
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YU Long 中山大学 地理科学与规划学院
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相关机构

School of Geography and Planning, Sun Yat-sen University
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