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

在 Yongsen Zhao 和 Junjun Jiang整理的高光谱遥感影像去噪方法清单Hyperspectral-Image-Denoising-Benchmark的基础上，进行了深度学习方法的更新。
The deep learning methods has been updated based on the list of hyperspectral remote sensing image denoising methods Hyperspectral-Image-Denoising-Benchmark compiled by Yongsen Zhao and Junjun Jiang.

Deep Learning Methods

Hyperspectral Imagery Denoising by Deep Learning With Trainable Nonlinearity Function, GRSL 2017, Weiying Xie et al.[Page]
[HSI-DeNet]: Hyperspectral Image Restoration via Convolutional Neural Network, IEEE TGRS 2018, Yi Chang et al.[Page][Web][Pdf]
[HSID-CNN]:Hyperspectral Image Denoising Employing a Spatial-Spectral Deep Residual Convolutional Neural Network, IEEE TGRS 2018, Qiangqiang Yuan et al.[Page][Code]
[Deep Hyperspectral Prior]: Denoising, Inpainting, Super-Resolution, ICCV Workshops 2019, Oleksii Sidorov et al.[Page][Code] [Pdf]
A 3-D Atrous Convolution Neural Network for Hyperspectral Image Denoising, IEEE TGRS 2019, Wei Liu et al.[Page]
Hybrid Noise Removal in Hyperspectral Imagery With a Spatial-Spectral Gradient Network, IEEE TGRS 2019, Qiang Zhang et al.[Page][Code][Pdf]
Deep Spatial-spectral Representation Learning for Hyperspectral Image Denoising, IEEE TCI 2019, Weisheng Dong et al. [Page] [Code]
Zero-Shot Hyperspectral Image Denoising With Separable Image Prior, ICCV Workshops 2019, Ryuji Imamura et al.[Page]
Source:Self-supervised Hyperspectral Image Restoration using Separable Image Prior, arxiv 2019, Ryuji Imamura et al.[Page]
DNN-based Hyperspectral Image Denoising with Spatio-spectral Pre-training, IEEE GCCE 2019, Tatsuki Itasaka et al.[Page]
Efficient Convolutional Neural Network for Spectral-Spatial Hyperspectral Denoising, WHISPERS 2019, Alessandro Maffei et al.[Page]
========================> 2020 <========================
[HSI-SDeCNN]:A Single Model CNN for Hyperspectral, IEEE TGRS 2020 , Alessandro Maffei et al.[Page][Pdf][Code]
3-D Quasi-Recurrent Neural Network for Hyperspectral Image Denoising, IEEE TNNLS 2020, Kaixuan Wei et al.[Page][Code][Pdf]
Hyperspectral Image Denoising Using SURE-Based Unsupervised Convolutional Neural Networks, IEEE TGRS 2020 , Han V. Nguyen et al.[Page]
ADRN: Attention-based deep residual network for hyperspectral image denoising, ICASSP 2020 , Yongsen Zhao et al.[Page][Pdf]
A New Multiscale Residual Learning Network for HSI Inconsistent Noise Removal, GRSL 2020 , Yuan Yuan et al.[Page]
A Comprehensive Comparison of Multi-Dimensional Image Denoising Methods, arxiv 2020 , Zhaoming Kong et al.[Page][Pdf]
========================> 2021 <========================
Hyperspectral Image Denoising Using a 3-D Attention Denoising Network, TGRS 2021 , Qian Shi et al.[Page]
Hyperspectral Image Denoising Based On Multi-Stream Denoising Network, IGARSS 2021 , Yan Gao et al.[Page]
A Self-Supervised Denoising Network for Satellite-Airborne-Ground Hyperspectral Imagery, TGRS 2021 , Xinyu Wang et al.[Page]
Partial-DNet: A Novel Blind Denoising Model With Noise Intensity Estimation for HSI, TGRS 2021 , Yuan Yuan et al.[Page]
Deep Spatial-Spectral Global Reasoning Network for Hyperspectral Image Denoising, TGRS 2021 , Xiangyong Cao et al.[Page][Code]
Attention-Based Octave Network for Hyperspectral Image Denoising, JSTARS 2021 , Ziwen Kan et al.[Page][Code]
SSCAN: A Spatial-spectral Cross Attention Network for Hyperspectral Image Denoising, arxiv 2021 , Zhiqiang Wang et al.[Page]
Hyperspectral Image Restoration with Self-supervised Learning: A Two-stage Training Approach, TGRS 2021 , Yuntao Qian et al.[Page]
========================> 2022 <========================
DnRCNN: Deep Recurrent Convolutional Neural Network for HSI Destriping, TNNLS 2022 , Juntao Guan et al.[Page]
Toward Real Hyperspectral Image Stripe Removal via Direction Constraint Hierarchical Feature Cascade Networks, RS 2022 , Chengjun Wang et al.[Page]
Deep plug-and-play prior for hyperspectral image restoration, Neurocomputing 2022 , Zeqiang Lai et al.[Page]

Hybrid models

Hyperspectral Image Denoising via Matrix Factorization and Deep Prior Regularization, IEEE TIP 2019, Baihong Lin et al[Page]
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, Qiang Zhang et al.[Page][Pdf]
SMDS-Net: Model Guided Spectral-Spatial Network for Hyperspectral Image Denoising, arXiv 2020 , Fengchao Xiong et al.[Page]
Unsupervised Hyperspectral Mixed Noise Removal Via Spatial-Spectral Constrained Deep Image Prior, arxiv 2020, Yi-Si Luo et al.[Page]
Hyperspectral Mixed Noise Removal via Spatial-Spectral Constrained Unsupervised Deep Image Prior, JSTARS 2021 , Yi-Si Luo et al.[Page]
Hyperspectral Image Denoising via Clustering-Based Latent Variable in Variational Bayesian Framework, TGRS 2021, Peyman Azimpour et al.[Page]
Hyperspectral Denoising Via Global Tensor Ring Decomposition and Local Unsupervised Deep Image Prior, IGARSS 2021 , Jian-Li Wang et al.[Page]
Learning a Model-Based Deep Hyperspectral Denoiser from a Single Noisy Hyperspectral Image, IGARSS 2021 , Guanyiman Fu et al.[Page]
Hyperspectral Denoising Using Unsupervised Disentangled Spatiospectral Deep Priors, TGRS 2021 , Yu-Chun Miao et al.[Page]
LR-Net: Low-Rank Spatial-Spectral Network for Hyperspectral Image Denoising, TIP 2021 , Hongyan Zhang et al.[Page]
A Trainable Spectral-Spatial Sparse Coding Model for Hyperspectral Image Restoration, NeurIPS 2021 , Theo Bodrito et al.[Page][Code]
MAC-Net: Model Aided Nonlocal Neural Network for Hyperspectral Image Denoising, TGRS 2021 , Fengchao Xiong et al.[Page]
Hyperspectral Image Mixed Noise Removal Using Subspace Representation and Deep CNN Image Prior, RS 2021 , Lina Zhuang et al.[Page]
Hyperspectral Image Denoising via Low-Rank Representation and CNN Denoiser, JSTARS 2021 , Hezhi Sun et al.[Page]
FastHyMix: Fast and Parameter-Free Hyperspectral Image Mixed Noise Removal, TNNLS 2021 , Lina Zhuang et al.[Page][Code]

Temporarily uncategorized

Evolving Deep Convolutional Neural Networks for Hyperspectral Image Denoising, IJCNN 2020 , Yuqiao Liu et al.[Page]
A novel fusion paradigm for multi-channel image denoising, Information Fusion 2020 , Yue Wu et al.[Page]

Other tasks

HSI-IPNet: Hyperspectral Imagery Inpainting by Deep Learning With Adaptive Spectral Extraction, IEEE J-STARS 2020, Rong Wong et al.[Page][Pdf]
Fast stripe noise removal from hyperspectral image via multi-scale dilated unidirectional convolution, Multimedia Tools and Applications 2020, Ziying Wang et al.[Page][Code]
Toward Universal Stripe Removal via Wavelet-Based Deep Convolutional Neural Network, IEEE TGRS 2020, Yi Chang et al.[Page]
Learning Spectral-Spatial Prior Via 3DDNCNN for Hyperspectral Image Deconvolution, ICASSP 2020, Xiuheng Wang et al.[Page]
DnRCNN: Deep Recurrent Convolutional Neural Network for HSI Destriping, TNNLS 2022 , Juntao Guan et al.[Page]

Reconstruction

Hyperspectral Image Reconstruction Using a Deep Spatial-Spectral Prior, CVPR 2019 , Lizhi Wang et al.[Page][Pdf]
HyperMixNet: Hyperspectral Image Reconstruction With Deep Mixed Network From a Snapshot Measurement, ICCV Workshops 2021 , Kouhei Yorimoto et al.[Page]

Extra

Deep learning on image denoising: An overview, Neural Networks 2020, Chunwei Tian et al.[Page]
A Comprehensive Comparison of Multi-Dimensional Image Denoising Methods, arxiv 2020, Zhaoming Kong et al.[Page]
Hyperspectral Image Denoising with Realistic Data, ICCV 2021 , Tao Zhang et al.[Page][Code]
Image Restoration for Remote Sensing: Overview and Toolbox, arxiv 2021, Benhood Rasti et al.[Page][Code]
HyDe: The First Open-Source, Python-Based, GPU-Accelerated Hyperspectral Denoising Package, arxiv 2022, Daniel Coquelin et al.[Page][Code]

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)

FF-Wong/Deep-learning-methods-for-Hyperspectral-Image-Denoising