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    • Hyperspectral remote sensing image classification based on multidirectional adaptive aware network

    • “In the field of hyperspectral remote sensing, researchers have proposed a spatial spectral joint classification method for hyperspectral images based on multi-directional adaptive perception, which effectively improves the model's ability to characterize complex spatial spectral structures and mitigates edge confusion in classification.”
      • role：First author第一作者
      • Affiliation：

        School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing 210014, China

      • Email：liuqianahu@163.com
      • Introduction：刘倩，研究方向为遥感图像处理、机器学习。E-mail： liuqianahu@163.com

      LIU Qian

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

        School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing 210014, China

      • Email：wuzb@njust.edu.cn
      • Introduction：吴泽彬， 研究方向为高光谱遥感，多源遥感融合，云边协同计算。E-mail： wuzb@njust.edu.cn

      WU Zebin

      * ,
      • Affiliation：

        School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing 210014, China

      XU Yang

      ,
      • Affiliation：

        School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing 210014, China

      ZHENG Peng

      ,
      • Affiliation：

        School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing 210014, China

      ZHENG Shangdong

      ,
      • Affiliation：

        School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing 210014, China

      WEI Zhihui

    • Vol. 28, Issue 1, Pages: 168-186(2024)  

    • DOI：10.11834/jrs.20243292    

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