Hyperspectral Target Recognition | Views:1006Downloads:2941CSCD:2

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    • Hyperspectral anomaly detection based on spatial-spectral multichannel autoencoders

      • role：First author第一作者
      • Affiliation：

        Shenzhen University, College of Computer Science and Software Engineering, Shenzhen 518060, China

        Key Laboratory for Geo-Environmental Monitoring of Coastal Zone of the Ministry of Natural Resources, Shenzhen 518060, China

        Guangdong-Hong Kong-Macau Joint Laboratory for Smart Cities, Shenzhen 518060, China

      • Email：senjia@szu.edu.cn
      • Introduction：贾森，研究方向为人工智能和遥感信息处理。E-mail：senjia@szu.edu.cn

      JIA Sen

      123,
      • Affiliation：

        Shenzhen University, College of Computer Science and Software Engineering, Shenzhen 518060, China

      LIU Kuan

      1,
      • role：Corresponding author通信作者
      • Affiliation：

        Shenzhen University, College of Computer Science and Software Engineering, Shenzhen 518060, China

        Key Laboratory for Geo-Environmental Monitoring of Coastal Zone of the Ministry of Natural Resources, Shenzhen 518060, China

        Guangdong-Hong Kong-Macau Joint Laboratory for Smart Cities, Shenzhen 518060, China

      • Email：m.xu@szu.edu.cn
      • Introduction：徐萌，研究方向为高光谱图像云检测和去除。E-mail：m.xu@szu.edu.cn

      XU Meng

      123 * ,
      • Affiliation：

        Key Laboratory for Geo-Environmental Monitoring of Coastal Zone of the Ministry of Natural Resources, Shenzhen 518060, China

      ZHU Jiasong

      2
    • Vol. 28, Issue 1, Pages: 55-68(2024)  

    • DOI：10.11834/jrs.20242398    

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