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

      Received:05 September 2025

      Published:07 February 2026

    • DOI: 10.11834/jrs.20255370     

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  • Jia Y Y,Chi K C,Zhou Q,Li Q and Wang Q. 2026. Entity-guided cross-modal interaction for referring segmentation of remote sensing images. National Remote Sensing Bulletin, 30(2):311-324 DOI: 10.11834/jrs.20255370.
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相关作者

WANG Yu 中国地质大学(武汉) 计算机学院
FENG Yuting 中国地质大学(武汉) 计算机学院
GONG Sishi 中国地质大学(武汉) 计算机学院
MAO Yanqin 滇西应用技术大学 测绘与信息工程学院
LI Shengwen 中国地质大学(武汉) 计算机学院;智能地学信息处理湖北省重点实验室
FANG Fang 中国地质大学(武汉) 计算机学院;智能地学信息处理湖北省重点实验室
ZHOU Shunping 中国地质大学(武汉) 计算机学院;智能地学信息处理湖北省重点实验室

相关机构

School of Computer Science, China University of Geosciences
School of Surveying, Mapping and Information Engineering, West Yunnan University of Applied Sciences
Hubei Provincial Key Laboratory of Intelligent Geological Information Processing
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