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    • Hyperspectral unmixing network considering spectral information and superpixel segmentation

    • In the field of hyperspectral unmixing, the SSUNet network effectively improves the unmixing accuracy and robustness by integrating spectral information and superpixel segmentation.
    • Vol. 28, Issue 1, Pages: 142-153(2024)   

      Received:31 October 2022

      Published:07 January 2024

    • DOI: 10.11834/jrs.20232587     

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  • Xie J F and Chen T. 2024. Hyperspectral unmixing network considering spectral information and superpixel segmentation. National Remote Sensing Bulletin, 28(1):142-153 DOI: 10.11834/jrs.20232587.
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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
ZHOU Weixun 南京信息工程大学 遥感与测绘工程学院;北京师范大学 遥感科学国家重点实验室
LIU Jinglei 南京信息工程大学 遥感与测绘工程学院
PENG Daifeng 南京信息工程大学 遥感与测绘工程学院

相关机构

Faculty of Geosciences and Engineering, Southwest Jiaotong University
School of Remote Sensing & Geomatics Engineering, Nanjing University of Information Science and Technology
State Key Laboratory of Remote Sensing Science, Beijing Normal University
State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University
School of Electronics and Information Engineering, Hebei University of Technology
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