Models and Methods | Views : 0 下载量: 1284 CSCD: 0
  • Export

  • Share

  • Collection

  • Album

    • 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     

    移动端阅览

  • 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.
  •  
  •  
Alert me when the article has been cited
提交

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
LIAN Yuanfeng 中国石油大学(北京) 人工智能学院;中国石油大学(北京) 石油数据挖掘北京市重点实验室
LI Keke 中国石油大学(北京) 人工智能学院
KU Minfan 湖北大学 资源环境学院

相关机构

College of Artificial Intelligence, China University of Petroleum
Beijing Key Laboratory of Petroleum Data Mining
Faculty of Resources and Environmental Science, Hubei University
Tianjin Key Laboratory of Rail Transit Navigation Positioning and Spatio-temporal Big Data Technology
China Railway Design Group Limited
0