Enhancing Hyperspectral Image Classification: A Hybrid CNN Approach with Spatial and Channel Attention Mechanisms-Reference-Cited by-同舟云学术

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Enhancing Hyperspectral Image Classification: A Hybrid CNN Approach with Spatial and Channel Attention Mechanisms

Published:2023-12-15 Issue: Volume:20 Page:1-5
ISSN:
Container-title:2023 20th International Computer Conference on Wavelet Active Media Technology and Information Processing (ICCWAMTIP)
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Author:

Butt Imtiaz Ahmed¹,Bo Li¹,Butt Muhammad Hassaan Farooq²,Tassew Megabiaw Tewodros³,Bin Akhtar Khan Muhammad Usama⁴

Affiliation:

1. School of Electronics and Information, Northwestern Polytechnical University,Xi'an,Shaanxi,China,710072

2. School of Computer Science and Engineering, University of Electronic Science and Technology of China,Chengdu,China,611731

3. School of Software, Northwestern Polytechnical University,Xi'an,Shaanxi,China,710072

4. Comsats University Islamabad, Wah Campus,Department of Computing,Wah,Pakistan,47040

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10386992/10385244/10387100.pdf?arnumber=10387100

Reference16 articles.

1. Hyperspectral Image Classification: Potentials, Challenges, and Future Directions

2. Hyperspectral Image Classification Using a Hybrid 3D-2D Convolutional Neural Networks

3. Tri-CNN: A Three Branch Model for Hyperspectral Image Classification

4. Deep Learning for Hyperspectral Image Classification: An Overview

5. A survey: Deep learning for hyperspectral image classification with few labeled samples

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