您当前的位置：
首页 >
文章列表页 >
Few-shot remote sensing image classification based on contrastive learning text perception
更新时间：2025-09-12

    • Few-shot remote sensing image classification based on contrastive learning text perception

    • “In the field of remote sensing image classification, experts have proposed a classification method based on multimodal learning, which effectively improves the accuracy of small sample classification.”
    • Journal of Jilin University(Engineering and Technology Edition)   Vol. 55, Issue 7, Pages: 2393-2401(2025)
    • 作者机构：

      吉林大学 计算机科学与技术学院，长春 130012

    • DOI：10.13229/j.cnki.jdxbgxb.20231128    

      CLC： TP751.1

    • Received：20 October 2023，

      Published：01 July 2025

    移动端阅览

  • LI Wen-hui,YANG Chen.Few-shot remote sensing image classification based on contrastive learning text perception[J].Journal of Jilin University(Engineering and Technology Edition),2025,55(07):2393-2401. DOI： 10.13229/j.cnki.jdxbgxb.20231128.

  •  
  •  

0

Views

5

下载量

0

CSCD

Alert me when the article has been cited
提交
Tools
Download
Export Citation
Share
Add to favorites
Add to my album

Related Articles

Few⁃shot image classification method based on sliding feature vectors
Chest X-ray images classification based on multi-scale attention information multiplexing network
Semantic similarity model based on augmented positives and interlayer negatives
Future instance segmentation prediction based on bird’s eye view of multi-source spatiotemporal information fusion
Robot inverse kinematics solution based on center selection battle royale optimization algorithm

Related Author

CAO Jie
QU Xue
LI Xiao-xu
ZHANG Rui-feng
GUO Fang-zhao
LI Qiang
CAI Xiao-Dong
HUANG Ye-yang

Related Institution

School of Electrical and Information Engineering， Lanzhou University of Technology
Engineering Research Center of Urban Railway Transportation of Gansu Province
School of Computer and Communication， Lanzhou University of Technology
School of Microelectronics， Tianjin University
School of Information and Communication， Guilin University of Electronic Technology
0