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    • Dual-branch remote sensing shadow detection with the fusion of Transformer and CNN

    • In the field of remote sensing image shadow detection, researchers have proposed a dual branch network that integrates Transformer and CNN, significantly improving detection accuracy and providing a new means for remote sensing image interpretation and feature extraction.
    • Vol. 29, Issue 3, Pages: 741-751(2025)   

      Received:29 August 2023

      Published:07 March 2025

    • DOI: 10.11834/jrs.20243358     

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  • Wang Y F,Huang X,Wang J L,Zhou T,Zhou W J and Peng B. 2025. Dual-branch remote sensing shadow detection with the fusion of Transformer and CNN. National Remote Sensing Bulletin, 29(3):741-751 DOI: 10.11834/jrs.20243358.
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相关作者

HUANG Xian 西南石油大学 计算机与软件学院
WANG Jianlin 西南石油大学 计算机与软件学院
ZHOU Tong 西南石油大学 计算机与软件学院
ZHOU Wenjun 西南石油大学 计算机与软件学院
PENG Bo 西南石油大学 计算机与软件学院
WANG Wei 长沙理工大学 计算机与通信工程学院
LI Xijie 长沙理工大学 计算机与通信工程学院
WANG Xin 长沙理工大学 计算机与通信工程学院

相关机构

School of Computer and Communication Engineering, Changsha University of Science and Technology
College of Artificial Intelligence, China University of Petroleum
Beijing Key Laboratory of Petroleum Data Mining
Center of Hyperspectral Imaging in Remote Sensing of Dalian Maritime University
Remote Sensing Signal and Image Processing Laboratory, Department of Computer Science and Electrical Engineering, University of Maryland, Baltimore County, Baltimore
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