EtPan/Deep-learning-methods-for-Hyperspectral-Image-Denoising

Deep learning methods for Hyperspectral Image Denoising

Awesome Deep learning methods for Hyperspectral Image Restoration

This is an ongoing update of a literature library, with my (feeble) efforts.

Notice: Welcome any scholars or students who are interested in this topic to participate in updating it or just having a casual chat!

Acknowledgement

It is forked from FF-Wong, and original compiled by Yongsen Zhao and Junjun Jiang in Hyperspectral-Image-Denoising-Benchmark.

Tender my sincere appreciate to them for their significant contributions.

Update Log

2023.07.02 Revised the layout, updated some code sources, and added GF5 dataset.
2023.06.24 Revised the layout, rearranged and updated some recent literature within the scope of personal knowledge (mainly in 2022 and 2023).
2023.06.17 Forked from FF-Wong

Survey/Review

A survey on hyperspectral image restoration: from the view of low-rank tensor approximation, Science China Information Sciences 2023
Hyperspectral Image Denoising: From Model-Driven, Data-Driven, to Model-Data-Driven, IEEE TNNLS 2023.
HyDe: The First Open-Source, Python-Based, GPU-Accelerated Hyperspectral Denoising Package, arxiv 2022, [Code]
Hyperspectral Image Denoising with Realistic Data, ICCV 2021[Code]
Image Restoration for Remote Sensing: Overview and Toolbox, ArXiv 2021,[Code]
Deep learning on image denoising: An overview, Neural Networks 2020
A Comprehensive Comparison of Multi-Dimensional Image Denoising Methods, ArXiv 2020.

Deep Learning Methods

========================> 2023 <========================

Spectral Enhanced Rectangle Transformer for Hyperspectral Image Denoising, CVPR 2023, [Code]
Hyperspectral image denoising via spectral noise distribution bootstrap, PR 2023 [Code]
HyperQUEEN: Hyperspectral Quantum Deep Network For Image Restoration, TGRS 2023
DSTrans: Dual-Stream Transformer for Hyperspectral Image Restoration, WACV 2023 [Code]
D2Net: Deep Denoising Network in Frequency Domain for Hyperspectral Image, IEEE/CAS JAS 2023 [Code]

========================> 2022 <========================

Nonlocal Spatial–Spectral Neural Network for Hyperspectral Image Denoising, TGRS 2022 [Code]
Spectrum-Aware and Transferable Architecture Search for Hyperspectral Image Restoration, ECCV 2022
Local–Global Feature-Aware Transformer Based Residual Network for Hyperspectral Image Denoising, TGRS 2022
Hider: A Hyperspectral Image Denoising Transformer With Spatial–Spectral Constraints for Hybrid Noise Removal, TNNLS 2022
Translution-SNet: A Semisupervised Hyperspectral Image Stripe Noise Removal Based on Transformer and CNN, TGRS 2022
Hyperspectral image stripe removal network with cross-frequency feature interaction, TGRS 2022
DnRCNN: Deep Recurrent Convolutional Neural Network for HSI Destriping, TNNLS 2022
SQAD: Spatial-Spectral Quasi-Attention Recurrent Network for Hyperspectral Image Denoising, IEEE TGRS 2022 [Code]
Toward Real Hyperspectral Image Stripe Removal via Direction Constraint Hierarchical Feature Cascade Networks, RS 2022
Deep plug-and-play prior for hyperspectral image restoration, Neurocomputing 2022 , Zeqiang Lai et al.[Code]

========================> 2021 <========================

Hyperspectral Image Denoising Using a 3-D Attention Denoising Network, TGRS 2021
Hyperspectral Image Denoising Based On Multi-Stream Denoising Network, IGARSS 2021
A Self-Supervised Denoising Network for Satellite-Airborne-Ground Hyperspectral Imagery, TGRS 2021
Partial-DNet: A Novel Blind Denoising Model With Noise Intensity Estimation for HSI, TGRS 2021
Deep Spatial-Spectral Global Reasoning Network for Hyperspectral Image Denoising, TGRS 2021 [Code]
Attention-Based Octave Network for Hyperspectral Image Denoising, JSTARS 2021 , [Code]
SSCAN: A Spatial-spectral Cross Attention Network for Hyperspectral Image Denoising, arxiv 2021
Hyperspectral Image Restoration with Self-supervised Learning: A Two-stage Training Approach, TGRS 2021
Fast stripe noise removal from hyperspectral image via multi-scale dilated unidirectional convolution, Multimedia Tools and Applications 2020 [Code]
Toward Universal Stripe Removal via Wavelet-Based Deep Convolutional Neural Network, IEEE TGRS 2020 [Code]
Evolving Deep Convolutional Neural Networks for Hyperspectral Image Denoising, IJCNN 2020
A novel fusion paradigm for multi-channel image denoising, Information Fusion 2020
HSI-SDeCNN:A Single Model CNN for Hyperspectral, IEEE TGRS 2020 [Code]](https://github.com/mhaut/HSI-SDeCNN)
3-D Quasi-Recurrent Neural Network for Hyperspectral Image Denoising, IEEE TNNLS 2020 [Code]
Hyperspectral Image Denoising Using SURE-Based Unsupervised Convolutional Neural Networks, IEEE TGRS 2020
ADRN: Attention-based deep residual network for hyperspectral image denoising, ICASSP 2020
A New Multiscale Residual Learning Network for HSI Inconsistent Noise Removal, GRSL 2020
A Comprehensive Comparison of Multi-Dimensional Image Denoising Methods, arxiv 2020

========================> Before 2020 <========================

Deep Hyperspectral Prior: Denoising, Inpainting, Super-Resolution, ICCV Workshops 2019 [Code]
A 3-D Atrous Convolution Neural Network for Hyperspectral Image Denoising, IEEE TGRS 2019
Hybrid Noise Removal in Hyperspectral Imagery With a Spatial-Spectral Gradient Network, IEEE TGRS 2019 [Code]
Deep Spatial-spectral Representation Learning for Hyperspectral Image Denoising, IEEE TCI 2019, [Code]
Zero-Shot Hyperspectral Image Denoising With Separable Image Prior, ICCV Workshops 2019
Source:Self-supervised Hyperspectral Image Restoration using Separable Image Prior, arxiv 2019
DNN-based Hyperspectral Image Denoising with Spatio-spectral Pre-training, IEEE GCCE 2019
Efficient Convolutional Neural Network for Spectral-Spatial Hyperspectral Denoising, WHISPERS 2019
HSI-DeNet: Hyperspectral Image Restoration via Convolutional Neural Network, IEEE TGRS 2018
HSID-CNN:Hyperspectral Image Denoising Employing a Spatial-Spectral Deep Residual Convolutional Neural Network, IEEE TGRS 2018 [Code]
Hyperspectral Imagery Denoising by Deep Learning With Trainable Nonlinearity Function, GRSL 2017

Hybrid models

========================> 2021 <========================

========================> 2020 <========================

Hyperspectral image restoration via CNN denoiser prior regularized low-rank tensor recovery, CVIU 2020, H. Zeng et al..[Page]
Deep spatio-spectral Bayesian posterior for hyperspectral image non-i.i.d. noise removal, ISPRS JPRS 2020
SMDS-Net: Model Guided Spectral-Spatial Network for Hyperspectral Image Denoising, arXiv 2020
Unsupervised Hyperspectral Mixed Noise Removal Via Spatial-Spectral Constrained Deep Image Prior, arxiv 2020

========================> Before 2020 <========================

Hyperspectral Image Denoising via Matrix Factorization and Deep Prior Regularization, IEEE TIP 2019

Other tasks

An End-to-End Framework for Joint Denoising and Classification of Hyperspectral Images, TNNLS 2023
HyperMixNet: Hyperspectral Image Reconstruction With Deep Mixed Network From a Snapshot Measurement, ICCV Workshops 2021
HSI-IPNet: Hyperspectral Imagery Inpainting by Deep Learning With Adaptive Spectral Extraction, IEEE J-STARS 2020
Learning Spectral-Spatial Prior Via 3DDNCNN for Hyperspectral Image Deconvolution, ICASSP 2020,
Hyperspectral Image Reconstruction Using a Deep Spatial-Spectral Prior, CVPR 2019

Datasets

Image Quality Measurement

Peak Signal to Noise Ratio (PSNR)
Structural SIMilarity index (SSIM)
Spectral Angle Mapper (SAM)
Erreur Relative Globale Adimensionnelle de Synthèse (ERGAS)
Feature SIMilarity index (FSIM)

Reference