Artificial Intelligence (AI) for Remote Sensing | Views:2385Downloads:4271CSCD:1
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    • Urban cinnamomum camphora crown detection research using RGB-DSM images and deep learning

      • role:First author第一作者
      • Affiliation:

        College of Mathematics and Computer Science, Zhejiang Agriculture and Forestry University, Hangzhou 311300, China

        Zhejiang Provincial Key Laboratory of Forestry Intelligent Monitoring and Information Technology, Hangzhou 311300, China

        Key Laboratory of Forestry Perception Technology and Intelligent Equipment, State Forestry Administration, Hangzhou 311300, China

      • Email:524285019@qq.com
      • Introduction:王昊,研究方向为林业信息化。E-mail: 524285019@qq.com

      WANG Hao

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

        College of Mathematics and Computer Science, Zhejiang Agriculture and Forestry University, Hangzhou 311300, China

        Zhejiang Provincial Key Laboratory of Forestry Intelligent Monitoring and Information Technology, Hangzhou 311300, China

        Key Laboratory of Forestry Perception Technology and Intelligent Equipment, State Forestry Administration, Hangzhou 311300, China

      • Email:xiakai@zafu.edu.cn
      • Introduction:夏凯,研究方向为机器学习,遥感及林业信息化。E-mail: xiakai@zafu.edu.cn

      XIA Kai

      * ,
      • Affiliation:

        College of Mathematics and Computer Science, Zhejiang Agriculture and Forestry University, Hangzhou 311300, China

        Zhejiang Provincial Key Laboratory of Forestry Intelligent Monitoring and Information Technology, Hangzhou 311300, China

        Key Laboratory of Forestry Perception Technology and Intelligent Equipment, State Forestry Administration, Hangzhou 311300, China

      YANG Yinhui

      ,
      • Affiliation:

        College of Mathematics and Computer Science, Zhejiang Agriculture and Forestry University, Hangzhou 311300, China

        Zhejiang Provincial Key Laboratory of Forestry Intelligent Monitoring and Information Technology, Hangzhou 311300, China

        Key Laboratory of Forestry Perception Technology and Intelligent Equipment, State Forestry Administration, Hangzhou 311300, China

      FENG Hailin

    • Vol. 27, Issue 12, Pages: 2762-2773(2023)  
    • DOI:10.11834/jrs.20221613    

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