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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

YU Zhirui 西南交通大学 地球科学与工程学院
YIN Zhanpeng 西南交通大学 地球科学与工程学院
WANG Junyu 西南交通大学 地球科学与工程学院
ZHOU Liang 西南交通大学 地球科学与工程学院
YE Yuanxin 西南交通大学 地球科学与工程学院
DONG Wenqian 西安电子科技大学 空天地一体化综合业务网全国重点实验室
WANG Hao 西安电子科技大学 空天地一体化综合业务网全国重点实验室
QU Jiahui 西安电子科技大学 空天地一体化综合业务网全国重点实验室

相关机构

Faculty of Geosciences and Engineering, Southwest Jiaotong University
State Key Laboratory of Integrated Services Networks, Xidian University
School of Land Engineering, Chang'an University
State Key Laboratory of Remote Sensing and Digital Earth, Aerospace Information Research Institute, Chinese Academy of Sciences
College of Resources and Environment, University of Chinese Academy of Sciences
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