Remote Sensing Intelligent Interpretation | Views:2208Downloads:5601CSCD:15

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    • Geographic knowledge graph-guided remote sensing image semantic segmentation

    • “In the field of remote sensing image semantic segmentation, experts have proposed a deep semantic segmentation method guided by geological knowledge graph, which effectively improves segmentation performance.”
      • role：First author第一作者
      • Affiliation：

        School of Remote Sensing and Information Engineering, Wuhan University, Wuhan 430079, China

      • Email：yansheng.li@whu.edu.cn
      • Introduction：李彦胜，研究方向为耦合知识图谱和深度学习的遥感大数据智能解译。E-mail： yansheng.li@whu.edu.cn

      LI Yansheng

      1,
      • Affiliation：

        School of Remote Sensing and Information Engineering, Wuhan University, Wuhan 430079, China

      WU Kang

      1,
      • Affiliation：

        School of Remote Sensing and Information Engineering, Wuhan University, Wuhan 430079, China

      OUYANG Song

      1,
      • Affiliation：

        Basic Geographic Information Center of Guizhou Province, Guiyang 550004, China

      YANG Kun

      2,
      • role：Corresponding author通信作者
      • Affiliation：

        Guizhou First Surveying and Mapping Institute, Guiyang 550025, China

      • Email：1596686651@qq.com
      • Introduction：李和平，研究方向为遥感影像解译及应用。E-mail： 1596686651@qq.com

      LI Heping

      3 * ,
      • Affiliation：

        School of Remote Sensing and Information Engineering, Wuhan University, Wuhan 430079, China

      ZHANG Yongjun

      1
    • Vol. 28, Issue 2, Pages: 455-469(2024)  

    • DOI：10.11834/jrs.20231110    

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