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    • Semantic segmentation of high-resolution remote sensing imagery using a three-branch integrated network architecture

    • “In the field of remote sensing image semantic segmentation, experts have proposed a high-resolution remote sensing image semantic segmentation algorithm based on a three branch ensemble network, which effectively improves the accuracy of remote sensing image segmentation.”
      • role:First author第一作者
      • Affiliation:

        Jiangsu Province Engineering Research Center of Integrated Circuit Reliability Technology and Testing System, Wuxi University ,Wuxi 214105,China

        School of Electronics and Information Engineering, Nanjing University of Information Science and Technology, Nanjing 210044, China

      • Email:shanhuilin@nuist.edu.cn
      • Introduction:单慧琳,研究方向为遥感图像分割、深度学习。E-mail: shanhuilin@nuist.edu.cn

      SHAN Huilin

      12,
      • Affiliation:

        School of Electronics and Information Engineering, Nanjing University of Information Science and Technology, Nanjing 210044, China

      WANG Xingtao

      2,
      • Affiliation:

        School of Electronics and Information Engineering, Nanjing University of Information Science and Technology, Nanjing 210044, China

      LIU Wenxing

      2,
      • Affiliation:

        Jiangsu Province Engineering Research Center of Integrated Circuit Reliability Technology and Testing System, Wuxi University ,Wuxi 214105,China

      MENG Xiangyuan

      1,
      • Affiliation:

        Jiangsu Province Engineering Research Center of Integrated Circuit Reliability Technology and Testing System, Wuxi University ,Wuxi 214105,China

      WANG Zhihao

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

        Jiangsu Province Engineering Research Center of Integrated Circuit Reliability Technology and Testing System, Wuxi University ,Wuxi 214105,China

        School of Electronics and Information Engineering, Nanjing University of Information Science and Technology, Nanjing 210044, China

      • Email:yorkzhang@nuist.edu.cn
      • Introduction:张银胜,研究方向为遥感图像处理、深度学习。E-mail: yorkzhang@nuist.edu.cn

      ZHANG Yinsheng

      12 *
    • Vol. 29, Issue 11, Pages: 3378-3393(2025)  
    • DOI:10.11834/jrs.20254321    

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Related Author

WANG Xingtao 南京信息工程大学 电子与信息工程学院
LIU Wenxing 南京信息工程大学 电子与信息工程学院
MENG Xiangyuan 无锡学院 江苏省集成电路可靠性技术及检测系统工程研究中心
WANG Zhihao 无锡学院 江苏省集成电路可靠性技术及检测系统工程研究中心
SHAN Huilin 无锡学院 江苏省集成电路可靠性技术及检测系统工程研究中心;南京信息工程大学 电子与信息工程学院
ZHANG Yinsheng 无锡学院 江苏省集成电路可靠性技术及检测系统工程研究中心;南京信息工程大学 电子与信息工程学院
DONG Yuqing 南京信息工程大学 遥感与测绘工程学院
LIU Dongsheng 南京信息工程大学 遥感与测绘工程学院

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