Intelligent Remote Sensing Processing and Analysis | Views:1516Downloads:2553CSCD:5
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    • Research on deep learning methods for AMSR-E land surface temperature data reconstruction

      • role:First author第一作者
      • Affiliation:

        Anhui Key Laboratory of Wetland Ecological Protection and Restoration, Anhui University, Hefei 230031, China

      • Email:suyang970513@163.com
      • Introduction:苏扬,研究方向为遥感地表温度无缝重建。E-mail:suyang970513@163.com

      SU Yang

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

        Anhui Key Laboratory of Wetland Ecological Protection and Restoration, Anhui University, Hefei 230031, China

        Anhui Provincial Laboratory of Information Materials and Intelligent Perception, Hefei 230031, China

      • Email:wuph@ahu.edu.cn
      • Introduction:吴鹏海,研究方向为遥感地表温度智能重建与融合。E-mail:wuph@ahu.edu.cn

      WU Penghai

      12 * ,
      • Affiliation:

        State Key Laboratory of Remote Sensing Science, Beijing Normal University, Beijing 100089, China

      CHENG Jie

      3,
      • Affiliation:

        Anhui Key Laboratory of Wetland Ecological Protection and Restoration, Anhui University, Hefei 230031, China

      YIN Zhixiang

      1,
      • Affiliation:

        Anhui Key Laboratory of Wetland Ecological Protection and Restoration, Anhui University, Hefei 230031, China

      MA Xiaoshuang

      1,
      • Affiliation:

        Anhui Provincial Laboratory of Information Materials and Intelligent Perception, Hefei 230031, China

      YANG Hui

      2
    • Vol. 26, Issue 4, Pages: 739-751(2022)  
    • DOI:10.11834/jrs.20220426    

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苏扬 安徽大学
吴鹏海 安徽大学
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殷志祥 安徽大学
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Penghai WU 安徽大学 湿地生态保护与修复安徽省重点实验室;信息材料与智能感知安徽省实验室

Related Institution

安徽大学
北京师范大学
Information Materials and Intelligent Sensing Laboratory of Anhui Province, Anhui University
Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences
School of Resources and Environmental Engineering, Anhui University