Deep Content-Dependent 3-D Convolutional Sparse Coding for Hyperspectral Image Denoising

Deep Content-Dependent 3-D Convolutional Sparse Coding for Hyperspectral Image Denoising

Despite the significant successes in hyperspectral image (HSI) denoising, pure data-driven HSI denoising networks still suffer from limited understanding of inference. Deep unfolding (DU) is a feasible way to improve the interpretability of deep network. However, the specialized spatial-spectral DU...

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Bibliographic Details
Main Authors: Haitao Yin, Hao Chen
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Subjects:
Hyperspectral image denoising
deep network
convolutional sparse coding
deep unfolding
3-D convolution
separable convolution
Online Access:https://ieeexplore.ieee.org/document/10412620/

Internet

https://ieeexplore.ieee.org/document/10412620/

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