您当前的位置：
首页 >
文章列表页 >
Specral-spatial classification of hyperspectral imagery with hybrid architecture of 3D-CNN and Transformer
Information Sciences | 更新时间：2025-02-11
|

    • Specral-spatial classification of hyperspectral imagery with hybrid architecture of 3D-CNN and Transformer

    • “In the field of hyperspectral image classification, researchers have proposed a 3D ConvFormer hybrid structure model, which effectively improves classification accuracy.”
    • Optics and Precision Engineering   Vol. 32, Issue 23, Pages: 3504-3512(2024)

    • DOI：10.37188/OPE.20243223.3504    

      CLC： TP394.1;TH691.9

    • Received：30 September 2024，

      Revised：28 October 2024，

      Published：10 December 2024

    移动端阅览

  • JING Haizhao,TAO Lijie,ZHANG Haokui.Specral-spatial classification of hyperspectral imagery with hybrid architecture of 3D-CNN and Transformer[J].Optics and Precision Engineering,2024,32(23):3504-3512. DOI： 10.37188/OPE.20243223.3504.

  •  
  •  

0

Views

25

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

Partial optimal transport-based domain adaptation for hyperspectral image classification
Real-time deblurring of wideband small target based on attention mechanism
YOLOv8 model-based additive manufacturing micro porosity defect detection and its dimension measurement
Image correction for perspective distortion of cylindrical surfaces at arbitrary poses
Collaborative classification of hyperspectral and LiDAR data based on CNN-transformer

Related Author

WANG Bilin
WANG Shengsheng
ZHANG Zhe
ZHU Deyan
AO Yongqi
XU Jiayi
LI Chengcheng
ZHANG Yufan

Related Institution

College of Computer Science and Technology， Jilin University
Suzhou Institute of Biomedical Engineering and Technology， Chinese Academy of Sciences
College of Astronautics， Nanjing University of Aeronautics and Astronautics
Key Laboratory of Space Optoelectronic Detection and Perception， Nanjing University of Aeronautics and Astronautics
College of Mechanical Engineering， Dalian University of Technology
0