Models and Methods | Views : 0 下载量: 2288 CSCD: 1
  • Export

  • Share

  • Collection

  • Album

    • 暂无标题

    • The latest research introduces self attention mechanism to improve the classification accuracy of multispectral remote sensing time-series data, especially for small sample land classification.
    • Vol. 27, Issue 8, Pages: 1914-1924(2023)   

      Received:30 October 2020

      Published:07 August 2023

    • DOI: 10.11834/jrs.20210453     

    移动端阅览

  • Zhang W X, Tang P and Zhang Z. 2023. Time series classification of remote sensing data based on temporal self-attention mechanism. National Remote Sensing Bulletin, 27(8):1914-1924 DOI: 10.11834/jrs.20210453.
  •  
  •  
Alert me when the article has been cited
提交

相关作者

GAO Bo
HAO Xiaohua
HE Dongcai
ZHAO Qin
JI Wenzheng
REN Hongrui
LI Hongyi
LIU Yan

相关机构

School of Earth Resources, China University of Geosciences
College of Geodesy and Geomatics, Shandong University of Science and Technology
Space Optoelectronic Measurement and Perception Lab., Beijing Institute of Control Engineering
College of Earth Sciences and Engineering, Shandong University of Science and Technology
Hubei Key Laboratory of Intelligent Vision Monitoring for Hydroelectric Engineering, China Three Gorges University
0