A hybrid convolution transformer for hyperspectral image classification-Reference-Cited by-同舟云学术

A hybrid convolution transformer for hyperspectral image classification

Published:2024-03-23 Issue: Volume: Page:
ISSN:2279-7254
Container-title:European Journal of Remote Sensing
language:en
Short-container-title:European Journal of Remote Sensing

Author:

Arshad Tahir¹,Zhang Junping¹,Ullah Inam²

Affiliation:

1. Department of Information and Communication Engineering, school of Electronics and information Engineering, Harbin Institute of Technology, Harbin, China

2. Department of computer Engineering, Gachon University, Seongnam, Sujeong‐gu, Republic of Korea

Funder

National Natural sciences foundation of china

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/22797254.2024.2330979

Reference47 articles.

1. A demonstration of hyperspectral image exploitation for military applications

2. Classification of Hyperspectral Images With Regularized Linear Discriminant Analysis

3. Hyperspectral Remote Sensing Data Analysis and Future Challenges

4. Kernel-based methods for hyperspectral image classification

5. Deep Feature Extraction and Classification of Hyperspectral Images Based on Convolutional Neural Networks

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