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Hyperspectral Denoising Using Unsupervised Disentangled Spatio-Spectral
  Deep Priors

Hyperspectral Denoising Using Unsupervised Disentangled Spatio-Spectral Deep Priors

24 February 2021
Yuchun Miao
Xile Zhao
Xiao Fu
Jian-Li Wang
Yu-Bang Zheng
ArXivPDFHTML

Papers citing "Hyperspectral Denoising Using Unsupervised Disentangled Spatio-Spectral Deep Priors"

20 / 20 papers shown
Title
EigenSR: Eigenimage-Bridged Pre-Trained RGB Learners for Single Hyperspectral Image Super-Resolution
EigenSR: Eigenimage-Bridged Pre-Trained RGB Learners for Single Hyperspectral Image Super-Resolution
Xi Su
Xiangfei Shen
Mingyang Wan
Jing Nie
Lihui Chen
Haijun Liu
Xichuan Zhou
98
0
0
31 Dec 2024
HyperSIGMA: Hyperspectral Intelligence Comprehension Foundation Model
HyperSIGMA: Hyperspectral Intelligence Comprehension Foundation Model
Di Wang
Meiqi Hu
Yao Jin
Yuchun Miao
Jiaqi Yang
...
Lefei Zhang
Chen Wu
Di Lin
Dacheng Tao
Liangpei Zhang
100
27
0
17 Jun 2024
Deep Hyperspectral Prior: Denoising, Inpainting, Super-Resolution
Deep Hyperspectral Prior: Denoising, Inpainting, Super-Resolution
Oleksii Sidorov
J. Hardeberg
SupR
29
151
0
01 Feb 2019
Image Restoration using Total Variation Regularized Deep Image Prior
Image Restoration using Total Variation Regularized Deep Image Prior
Jiaming Liu
Yu Sun
Xiaojian Xu
Ulugbek S. Kamilov
56
175
0
30 Oct 2018
Hybrid Noise Removal in Hyperspectral Imagery With a Spatial-Spectral
  Gradient Network
Hybrid Noise Removal in Hyperspectral Imagery With a Spatial-Spectral Gradient Network
Qiang Zhang
Qiangqiang Yuan
Jie Li
Xinxin Liu
Huanfeng Shen
Liangpei Zhang
52
133
0
01 Oct 2018
Hyperspectral Image Denoising Employing a Spatial-Spectral Deep Residual
  Convolutional Neural Network
Hyperspectral Image Denoising Employing a Spatial-Spectral Deep Residual Convolutional Neural Network
Qiangqiang Yuan
Qiang Zhang
Jie Li
Huanfeng Shen
Liangpei Zhang
84
376
0
01 Jun 2018
A Multi-Scale and Multi-Depth Convolutional Neural Network for Remote
  Sensing Imagery Pan-Sharpening
A Multi-Scale and Multi-Depth Convolutional Neural Network for Remote Sensing Imagery Pan-Sharpening
Qiangqiang Yuan
Yancong Wei
Xiangchao Meng
Huanfeng Shen
Liangpei Zhang
46
467
0
28 Dec 2017
Deep Image Prior
Deep Image Prior
Dmitry Ulyanov
Andrea Vedaldi
Victor Lempitsky
SupR
112
3,128
0
29 Nov 2017
Weighted Low-rank Tensor Recovery for Hyperspectral Image Restoration
Weighted Low-rank Tensor Recovery for Hyperspectral Image Restoration
Yi Chang
Luxin Yan
Houzhang Fang
Sheng Zhong
Zhijun Zhang
57
170
0
01 Sep 2017
Hyperspectral Image Restoration via Total Variation Regularized Low-rank
  Tensor Decomposition
Hyperspectral Image Restoration via Total Variation Regularized Low-rank Tensor Decomposition
Yao Wang
Jiangjun Peng
Qian Zhao
Deyu Meng
Yee Leung
Xile Zhao
96
371
0
08 Jul 2017
Denoising Hyperspectral Image with Non-i.i.d. Noise Structure
Denoising Hyperspectral Image with Non-i.i.d. Noise Structure
Y. Chen
Xiangyong Cao
Qian Zhao
Deyu Meng
Zongben Xu
47
179
0
01 Feb 2017
Inexact Block Coordinate Descent Methods For Symmetric Nonnegative
  Matrix Factorization
Inexact Block Coordinate Descent Methods For Symmetric Nonnegative Matrix Factorization
Qingjiang Shi
Haoran Sun
Songtao Lu
Mingyi Hong
Meisam Razaviyayn
46
28
0
11 Jul 2016
Tensor Decomposition for Signal Processing and Machine Learning
Tensor Decomposition for Signal Processing and Machine Learning
N. Sidiropoulos
L. De Lathauwer
Xiao Fu
Kejun Huang
Evangelos E. Papalexakis
Christos Faloutsos
143
1,351
0
06 Jul 2016
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
1.6K
192,638
0
10 Dec 2015
Semiblind Hyperspectral Unmixing in the Presence of Spectral Library
  Mismatches
Semiblind Hyperspectral Unmixing in the Presence of Spectral Library Mismatches
Xiao Fu
Wing-Kin Ma
J. Bioucas-Dias
Tsung-Han Chan
36
92
0
07 Jul 2015
U-Net: Convolutional Networks for Biomedical Image Segmentation
U-Net: Convolutional Networks for Biomedical Image Segmentation
Olaf Ronneberger
Philipp Fischer
Thomas Brox
SSeg
3DV
1.4K
76,547
0
18 May 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
1.2K
149,474
0
22 Dec 2014
Self-Dictionary Sparse Regression for Hyperspectral Unmixing: Greedy
  Pursuit and Pure Pixel Search are Related
Self-Dictionary Sparse Regression for Hyperspectral Unmixing: Greedy Pursuit and Pure Pixel Search are Related
Xiao Fu
Wing-Kin Ma
Tsung-Han Chan
J. Bioucas-Dias
69
67
0
15 Sep 2014
Auto-Encoding Variational Bayes
Auto-Encoding Variational Bayes
Diederik P. Kingma
Max Welling
BDL
397
16,962
0
20 Dec 2013
Hyperspectral Unmixing Overview: Geometrical, Statistical, and Sparse
  Regression-Based Approaches
Hyperspectral Unmixing Overview: Geometrical, Statistical, and Sparse Regression-Based Approaches
J. Bioucas-Dias
Antonio J. Plaza
N. Dobigeon
M. Parente
Q. Du
P. Gader
Jocelyn Chanussot
74
2,567
0
28 Feb 2012
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