CACFTNet: A Hybrid Cov-Attention and Cross-Layer Fusion Transformer Network for Hyperspectral Image Classification-Reference-Cited by-同舟云学术

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CACFTNet: A Hybrid Cov-Attention and Cross-Layer Fusion Transformer Network for Hyperspectral Image Classification

Published:2024 Issue: Volume:62 Page:1-17
ISSN:0196-2892
Container-title:IEEE Transactions on Geoscience and Remote Sensing
language:
Short-container-title:IEEE Trans. Geosci. Remote Sensing

Author:

Cheng Shuli¹^ORCID,Chan Runze¹^ORCID,Du Anyu¹^ORCID

Affiliation:

1. School of Computer Science and Technology, Xinjiang University, Ürümqi, China

Funder

Scientific and Technological Innovation 2030 Major Project

Basic Research Funds for Colleges and Universities in Xinjiang Uygur Autonomous Region

Key Laboratory Open Projects in Xinjiang Uygur Autonomous Region

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/36/10354519/10460571.pdf?arnumber=10460571

Reference48 articles.

1. Deep learning classifiers for hyperspectral imaging: A review

2. Deep Learning for Classification of Hyperspectral Data: A Comparative Review

3. Remote sensing platforms and sensors: A survey

4. A new k-nearest neighbor density-based clustering method and its application to hyperspectral images

5. Support vector machines for hyperspectral image classification with spectral-based kernels

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