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    • Remote sensing image cloud removal network on the basis of the attention mechanism and generative adversarial network

    • “In the field of cloud removal from remote sensing images, attention based generative adversarial network algorithms effectively preserve edge texture details and provide a solution to cloud interference problems.”
      • role：First author第一作者
      • Affiliation：

        College of Computer Science and Technology, Ocean University of China, Qingdao 266100, China

      • Email：zhengqiguang321@163.com
      • Introduction：郑其光， 研究方向为遥感智能解译。E-mail：zhengqiguang321@163.com

      ZHENG Qiguang

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

        College of Computer Science and Technology, Ocean University of China, Qingdao 266100, China

        College of Big Data and Software Engineering, Zhejiang Wanli University, Ningbo 315100, China

      • Email：renfang_wangac@126.com
      • Introduction：王仁芳， 研究方向为数字图像处理、机器学习、遥感智能解译。E-mail：renfang_wangac@126.com

      WANG Renfang

      12 * ,
      • Affiliation：

        College of Big Data and Software Engineering, Zhejiang Wanli University, Ningbo 315100, China

      QIU Hong

      2,
      • Affiliation：

        College of Big Data and Software Engineering, Zhejiang Wanli University, Ningbo 315100, China

      WANG Feng

      2,
      • Affiliation：

        College of Big Data and Software Engineering, Zhejiang Wanli University, Ningbo 315100, China

        Popsmart Technology(Zhejiang) Co., Ltd., Ningbo 315042, China

      GAO Guang

      23,
      • Affiliation：

        College of Big Data and Software Engineering, Zhejiang Wanli University, Ningbo 315100, China

        Popsmart Technology(Zhejiang) Co., Ltd., Ningbo 315042, China

      WU Dun

      23
    • Vol. 29, Issue 3, Pages: 752-761(2025)  

    • DOI：10.11834/jrs.20243372    

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