您当前的位置:
首页 >
文章列表页 >
Hyperspectral image classification via high-low frequency enhancement and cross-layer graph convolution aggregation
更新时间:2026-04-15
    • Hyperspectral image classification via high-low frequency enhancement and cross-layer graph convolution aggregation

    • Chinese Journal of Liquid Crystals and Displays   Pages: 1-14(2026)
    • DOI:10.37188/CJLCD.2026-0034    

      CLC: TP391
    • CSTR:32172.14.CJLCD.2026-0034    
    • Received:11 March 2026

      Revised:2026-04-02

      Online First:15 April 2026

    移动端阅览

  • MA Xin, WANG Xiyuan, BAI Xuebing. Hyperspectral image classification via high-low frequency enhancement and cross-layer graph convolution aggregation[J/OL]. Chinese Journal of Liquid Crystals and Displays, 2026, 1-14. DOI: 10.37188/CJLCD.2026-0034. CSTR: 32172.14.CJLCD.2026-0034.

  •  
  •  

0

Views

0

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

Hyperspectral image classification based on multi-branch spatial-spectral feature enhancement
Campus violence action recognition based on lightweight graph convolution network

Related Author

LI Tie
LI Wenxu
WANG Junguo
GAO Qiaoyu
Qi LI
Yao-hui DENG
Jiao WANG
LI Wen-xu

Related Institution

School of Electronic and Information Engineering, Liaoning Technical University
School of Electrical Information and Artificial Intelligence, Shaanxi University of Science and Technology
School of Electrical and Control Engineering, Shaanxi University of Science and Technology
0