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    • Low-rank tensor embedded deep neural network for hyperspectral image denoising

    • “Remote sensing satellite technology is developing rapidly, and new progress has been made in denoising hyperspectral images. Experts have proposed a low rank tensor embedding deep neural network method, which effectively removes image noise and improves denoising ability.”
      • role：First author第一作者
      • Affiliation：

        School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing 210094, China

      • Email：2550277604@qq.com
      • Introduction：涂坤，研究方向为高光谱图像去噪。E-mail： 2550277604@qq.com

      TU Kun

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

        School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing 210094, China

      • Email：fcxiong@njust.edu.cn
      • Introduction：熊凤超，研究方向为遥感影像处理、模式识别、计算机视觉、机器学习。E-mail： fcxiong@njust.edu.cn

      XIONG Fengchao

      1 * ,
      • Affiliation：

        Jiuquan Satellite Launch Center, Jiuquan 732750, China

      HOU Xueqiang

      2
    • Vol. 28, Issue 1, Pages: 121-131(2024)  

    • DOI：10.11834/jrs.20243119    

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