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    • Class-independent domain adaptation for hyperspectral image classification

    • In the field of hyperspectral image classification, researchers have proposed a category independent domain adaptation classification method, which effectively improves classification accuracy.
    • Vol. 28, Issue 3, Pages: 610-623(2024)   

      Received:13 October 2022

      Published:07 March 2024

    • DOI: 10.11834/jrs.20232512     

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  • Yu L,Li J,He L and Li Y F. 2024. Class-independent domain adaptation for hyperspectral image classification. National Remote Sensing Bulletin, 28(3):610-623 DOI: 10.11834/jrs.20232512.
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相关作者

Jiangtao PENG 湖北大学 数学与统计学学院, 应用数学湖北省重点实验室
Weiwei SUN 宁波大学 地理与空间信息技术系
Tianhui WEI 湖北大学 数学与统计学学院, 应用数学湖北省重点实验室
Wenqi FAN 湖北大学 数学与统计学学院, 应用数学湖北省重点实验室
LI Jun 中国地质大学 计算机学院, 智能地质信息处理湖北省重点实验室
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
Xiangpo WEI 信息工程大学

相关机构

Hubei Key Laboratory of Applied Mathematics, Facultyof Mathematicsand Statistics, Hubei University
Department of Geography and Spatial Information Techniques, Ningbo University, Fenghua Road
Hubei Key Laboratory of Intelligent Geo-Information Processing, School of Computer Science, University of Geosciences
Information Engineering University
College of Computer and Data Science, Fuzhou University
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