UNFOLD: 3-D U-Net, 3-D CNN, and 3-D Transformer-Based Hyperspectral Image Denoising
Author:
Affiliation:
1. Department of Computer Science and Engineering, IIT Indore, Indore, India
2. Department of Computer Science and Engineering, IIT Dhanbad, Dhanbad, India
3. Space Applications Centre, Ahmedabad, India
Funder
Indian Space Research Organization
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
General Earth and Planetary Sciences,Electrical and Electronic Engineering
Link
http://xplorestaging.ieee.org/ielx7/36/10006360/10302305.pdf?arnumber=10302305
Reference50 articles.
1. Hyperspectral Image Restoration Via Total Variation Regularized Low-Rank Tensor Decomposition
2. Noise reduction of hyperspectral imagery using hybrid spatial-spectral derivative-domain wavelet shrinkage
3. Deep Spatial-Spectral Global Reasoning Network for Hyperspectral Image Denoising
4. Hider: A Hyperspectral Image Denoising Transformer With Spatial–Spectral Constraints for Hybrid Noise Removal
5. Image Denoising by Sparse 3-D Transform-Domain Collaborative Filtering
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