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    • Hyperspectral Image Cross-Domain Few-Shot Classification Based on Disentangled Confidence Prototype Network

    • In the field of hyperspectral image classification, experts have proposed a cross domain small sample classification method based on decoupled confidence prototype networks, providing a solution to improve classification performance.
    • Pages: 1-14(2025)   

      Received:09 May 2025

      Published Online:13 November 2025

    • DOI: 10.11834/jrs.20253151     

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  • WANG Xuesong,JIANG Wenchao,KONG Yi,CHENG Yuhu. XXXX. Hyperspectral Image Cross-Domain Few-Shot Classification Based on Disentangled Confidence Prototype Network. National Remote Sensing Bulletin, XX(XX):1-14 DOI: 10.11834/jrs.20253151.
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相关作者

WANG Xuesong 中国矿业大学 信息与控制工程学院
JIANG Wenchao 中国矿业大学 信息与控制工程学院
KONG Yi 中国矿业大学 信息与控制工程学院
CHENG Yuhu 中国矿业大学 信息与控制工程学院
YU Long 中山大学 地理科学与规划学院
HE Lin 华南理工大学 自动化科学与工程学院
LI Yunfei 中山大学 地理科学与规划学院
LI Jun 中国地质大学(武汉) 计算机学院, 智能地质信息处理湖北省重点实验室

相关机构

College of Information and Control Engineering, China University of Mining and Technology
School of Geography and Planning, Sun Yat-sen University
School of Automation Science and Engineering, South China University of Technology
Hubei Key Laboratory of Intelligent Geo-Information Processing, School of Computer Science, China University of Geosciences
Institute of Information and Communication, Harbin Engineering University
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