A Joint Architecture of Mixed-Attention Transformer and Octave Module for Hyperspectral Image Denoising

A Joint Architecture of Mixed-Attention Transformer and Octave Module for Hyperspectral Image Denoising

Convolutional neural networks (CNNs) recently have achieved impressive performance for hyperspectral image denoising. However, current CNNs have limitations in exploring spectral correlations across various bands and the interactions among features within each band. Although transformers are introdu...

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Bibliographic Details
Main Authors: Mahmood Ashraf, Lihui Chen, Xichuan Zhou, Muhammad Allah Rakha
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Subjects:
HS image denoising
multilevel features
octative network
transformer
Online Access:https://ieeexplore.ieee.org/document/10410657/

Internet

https://ieeexplore.ieee.org/document/10410657/

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