Artificial Intelligence (AI) for Remote Sensing | Views:1286Downloads:4307CSCD:3
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    • A two-branch remote sensing image dehazing network based on hierarchical feature interaction and enhanced receptive field

      • role:First author第一作者
      • Affiliation:

        College of Computer and Information Technology, China Three Gorges University, Yichang, 443002, China

        Hubei Key Laboratory of Intelligent Vision Based Monitoring for Hydroelectric Engineering, China Three Gorges University, Yichang, 443002, China

      • Email:sunhang0418@whu.edu.cn
      • Introduction:孙航,研究方向为计算机视觉、图像去雾、图像增强。E-mail: sunhang0418@whu.edu.cn

      SUN Hang

      13,
      • Affiliation:

        College of Computer and Information Technology, China Three Gorges University, Yichang, 443002, China

      FANG Shuailing

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

        College of Computer and Information Technology, China Three Gorges University, Yichang, 443002, China

        Hubei Key Laboratory of Intelligent Vision Based Monitoring for Hydroelectric Engineering, China Three Gorges University, Yichang, 443002, China

      • Email:zp_dan@ctgu.edu.cn
      • Introduction:但志平,研究方向为计算机视觉、自然语言处理。E-mail: zp_dan@ctgu.edu.cn

      DAN Zhiping

      13 * ,
      • Affiliation:

        College of Computer and Information Technology, China Three Gorges University, Yichang, 443002, China

        Hubei Engineering Technology Research Center for Farmland Environmental, China Three Gorges University, Yichang, 443002, China

      REN Dong

      12,
      • Affiliation:

        College of Computer and Information Technology, China Three Gorges University, Yichang, 443002, China

        Hubei Engineering Technology Research Center for Farmland Environmental, China Three Gorges University, Yichang, 443002, China

      YU Mei

      12,
      • Affiliation:

        College of Computer and Information Technology, China Three Gorges University, Yichang, 443002, China

        Hubei Key Laboratory of Intelligent Vision Based Monitoring for Hydroelectric Engineering, China Three Gorges University, Yichang, 443002, China

      SUN Shuifa

      13
    • Vol. 27, Issue 12, Pages: 2831-2846(2023)  
    • DOI:10.11834/jrs.20232333    

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Related Author

FANG Shuailing 三峡大学 计算机与信息学院
REN Dong 三峡大学 计算机与信息学院;三峡大学 湖北省农田环境监测工程技术研究中心
YU Mei 三峡大学 计算机与信息学院;三峡大学 湖北省农田环境监测工程技术研究中心
SUN Shuifa 三峡大学 计算机与信息学院;三峡大学 湖北省水电工程智能视觉监测重点实验室
SONG Baogui 三峡大学 水电工程智能视觉监测湖北省重点实验室;三峡大学 计算机与信息学院;三峡大学 先进计算中心
SHAO Pan 三峡大学 水电工程智能视觉监测湖北省重点实验室;三峡大学 计算机与信息学院;三峡大学 先进计算中心
SHAO Wen 三峡大学 水电工程智能视觉监测湖北省重点实验室;三峡大学 计算机与信息学院;三峡大学 先进计算中心
ZHANG Xiaodong 武汉大学 测绘遥感信息工程国家重点实验室

Related Institution

Hubei Key Laboratory of Intelligent Vision Based Monitoring for Hydroelectric Engineering, China Three Gorges University
Advanced Computing Center, China Three Gorges University
State Key Laboratory of Remote Sensing Information Engineering for Surveying and Mapping, Wuhan University
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National Virtual Simulation Experimental Teaching Center for Rail Transit Information and Control, Lanzhou Jiaotong University