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    • Hyperspectral image classification based on three branch network with grouped spatial-spectral attention

    • In the field of hyperspectral image classification, researchers have proposed a three branch grouped spatial spectral attention deep network structure, which effectively extracts spatial and spectral information, and the experimental results are superior to existing advanced algorithms.
    • Vol. 28, Issue 1, Pages: 247-265(2024)   

      Received:26 September 2022

      Published:07 January 2024

    • DOI: 10.11834/jrs.20232492     

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  • Su H,Chen N,Peng J T and Sun W W. 2024. Hyperspectral image classification based on three branch network with grouped spatial-spectral attention. National Remote Sensing Bulletin, 28(1):247-265 DOI: 10.11834/jrs.20232492.
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相关作者

GAO Zi’ang 三峡大学 湖北省水电工程智能视觉监测重点实验室;三峡大学 计算机与信息学院
SHAO Pan 三峡大学 湖北省水电工程智能视觉监测重点实验室;三峡大学 计算机与信息学院
SHEN Huanfeng 武汉大学 资源与环境科学学院;湖北珞珈实验室
LI Jie 武汉大学 测绘学院
LIN Liupeng 武汉大学 资源与环境科学学院
HE Jiayue 哈尔滨工程大学 信息与通信工程学院
SU Nan 哈尔滨工程大学 信息与通信工程学院
XU Cong’an 海军航空大学 信息融合研究所

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College of Computer and Information Technology, China Three Gores University
Hubei Key Laboratory of Intelligent Vision Monitoring for Hydroelectric Engineering, China Three Gorges University
Hubei Luojia Laboratory
School of Geodesy and Geomatics, Wuhan University
School of Resource and Environmental Sciences, Wuhan University
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