Intelligent Applications of Remote Sensing | Views:490Downloads:362CSCD:0
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    • Research on automatic identification of pure and mixed-use blocks based on open-source data

    • The research progress in the field of urban planning and management was introduced, and relevant experts proposed a method for automatically identifying mixed functional blocks based on open source interest surface AOI and interest point POI, as well as open map OSM and Sentinel-2 images, providing a new solution for improving land use efficiency.
      • role:First author第一作者
      • Affiliation:

        School of Remote Sensing & Geomatics Engineering, Nanjing University of Information Science & Technology, Nanjing 210044, China

        Engineering Research Center of Natural Resource Information Management and Digital Twin Engineering Software, Ministry of Education, Wuhan 430074, China

        Hubei Key Laboratory of Intelligent Geo-Information Processing, China University of Geosciences, Wuhan 430074, China

      • Email:thu_michelle@163.com
      • Introduction:胡婷,研究方向为城市遥感信息智能提取、社会感知与人文遥感。E-mail: thu_michelle@163.com

      HU Ting

      123,
      • role:Corresponding author通信作者
      • Affiliation:

        School of Remote Sensing & Geomatics Engineering, Nanjing University of Information Science & Technology, Nanjing 210044, China

      • Email:gzx0101@nuist.edu.cn
      • Introduction:郭紫璇, 研究方向为城市遥感信息智能提取。E-mail: gzx0101@nuist.edu.cn

      GUO Zixuan

      1 * ,
      • Affiliation:

        School of Remote Sensing & Geomatics Engineering, Nanjing University of Information Science & Technology, Nanjing 210044, China

      PAN Ziyong

      1,
      • Affiliation:

        LIESMARS, Wuhan University, Wuhan 430079, China

      HE Wei

      4,
      • Affiliation:

        School of Remote Sensing & Geomatics Engineering, Nanjing University of Information Science & Technology, Nanjing 210044, China

      XU Yongming

      1,
      • Affiliation:

        Engineering Research Center of Natural Resource Information Management and Digital Twin Engineering Software, Ministry of Education, Wuhan 430074, China

        Hubei Key Laboratory of Intelligent Geo-Information Processing, China University of Geosciences, Wuhan 430074, China

      HUANG Shaoguang

      23
    • Vol. 30, Issue 2, Pages: 416-431(2026)  
    • DOI:10.11834/jrs.20255185    

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Related Institution

LIESMARS, Wuhan University
School of Land Engineering, Chang'an University, Xi'an 710061, China Corresponding author
College of Urban and Environmental Sciences, Central China Normal University
Academy of Frontier Interdisciplinary Research, Central China Normal University
Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences