Remote Sensing Intelligent Interpretation | Views:575Downloads:891CSCD:0

  • Export

  • Collection

  • Album

    • Entity-guided cross-modal interaction for referring segmentation of remote sensing images

    • “A new breakthrough has been made in the field of remote sensing image segmentation. Experts have proposed the Enti CroM method, which guides cross modal interaction through entities and effectively solves the problems of land cover confusion and modal differences, providing new ideas for intelligent analysis of remote sensing images.”
      • role：First author第一作者
      • Affiliation：

        School of Artificial Intelligence, Optics and Electronics (iOPEN), Northwestern Polytechnical University, Xi'an 710072, China

      • Email：jyy2019@mail.nwpu.edu.cn
      • Introduction：贾玉钰，研究方向为遥感图像多模态分析、小样本学习的理论和应用。E-mail：jyy2019@mail.nwpu.edu.cn

      JIA Yuyu

      ,
      • Affiliation：

        School of Artificial Intelligence, Optics and Electronics (iOPEN), Northwestern Polytechnical University, Xi'an 710072, China

      CHI Kaichen

      ,
      • Affiliation：

        School of Artificial Intelligence, Optics and Electronics (iOPEN), Northwestern Polytechnical University, Xi'an 710072, China

      ZHOU Qing

      ,
      • Affiliation：

        School of Artificial Intelligence, Optics and Electronics (iOPEN), Northwestern Polytechnical University, Xi'an 710072, China

      LI Qiang

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

        School of Artificial Intelligence, Optics and Electronics (iOPEN), Northwestern Polytechnical University, Xi'an 710072, China

      • Email：crabwq@nwpu.edu.cn
      • Introduction：王琦，研究方向为计算机视觉、模式识别、遥感图像处理。E-mail：crabwq@nwpu.edu.cn

      WANG Qi

      *
    • Vol. 30, Issue 2, Pages: 311-324(2026)  

    • DOI：10.11834/jrs.20255370    

    Scan QR Code

    Scan QR Code

  • Quote

    Translate The Full Text

  •  
  •  

  • AI Introduction

  • Full Text(HTML)

  • Figs( 11 ) Tabs( 5 )

  • References

  • Publication Info

  • Metrics

Alert me when the article has been cited
Submit

Related Articles

Related Author

ZHANG Xin 铁塔智联技术有限公司
LI Boliang 铁塔智联技术有限公司
ZHAO Chunlei 中国农业科学院农业资源与农业区划研究所 北方干旱半干旱耕地高效利用全国重点实验室/ 农业农村部农业遥感重点实验室
ZHANG Shuai 中华人民共和国农业农村部农田建设管理司
WU Wenbin 中国农业科学院农业资源与农业区划研究所 北方干旱半干旱耕地高效利用全国重点实验室/ 农业农村部农业遥感重点实验室
YU Qiangyi 中国农业科学院农业资源与农业区划研究所 北方干旱半干旱耕地高效利用全国重点实验室/ 农业农村部农业遥感重点实验室
PENG Zimeng 中国农业科学院农业资源与农业区划研究所 北方干旱半干旱耕地高效利用全国重点实验室/ 农业农村部农业遥感重点实验室
DUAN Yuling 中国农业科学院农业资源与农业区划研究所 北方干旱半干旱耕地高效利用全国重点实验室/ 农业农村部农业遥感重点实验室

Related Institution

Smart Tower Corporation Limited
Department of Farmland Construction and Management, Ministry of Agriculture and Rural Affairs of the People's Republic of China
State Key Laboratory of Efficient Utilization of Arable Land in China/Key Laboratory of Agricultural Remote Sensing (AGRIRS) Ministry of Agriculture and Rural Affairs, Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences
National Key Laboratory of Science and Technology on Automatic Target Recognition, National University of Defense Technology
School of Geography and Planning, Sun Yat-sen University