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Deep Generative Endmember Modeling: An Application to Unsupervised
  Spectral Unmixing

Deep Generative Endmember Modeling: An Application to Unsupervised Spectral Unmixing

14 February 2019
R. Borsoi
Tales Imbiriba
J. Bermudez
ArXivPDFHTML

Papers citing "Deep Generative Endmember Modeling: An Application to Unsupervised Spectral Unmixing"

19 / 19 papers shown
Title
Decision-Making with Auto-Encoding Variational Bayes
Decision-Making with Auto-Encoding Variational Bayes
Romain Lopez
Pierre Boyeau
Nir Yosef
Michael I. Jordan
Jeffrey Regier
BDL
351
10,591
0
17 Feb 2020
Improved Hyperspectral Unmixing With Endmember Variability Parametrized
  Using an Interpolated Scaling Tensor
Improved Hyperspectral Unmixing With Endmember Variability Parametrized Using an Interpolated Scaling Tensor
R. Borsoi
Tales Imbiriba
J. Bermudez
47
14
0
02 Jan 2019
Low-Rank Tensor Modeling for Hyperspectral Unmixing Accounting for
  Spectral Variability
Low-Rank Tensor Modeling for Hyperspectral Unmixing Accounting for Spectral Variability
Advaith Siddharthan
R. Borsoi
N. A. Murphy
32
45
0
02 Nov 2018
Super-Resolution for Hyperspectral and Multispectral Image Fusion
  Accounting for Seasonal Spectral Variability
Super-Resolution for Hyperspectral and Multispectral Image Fusion Accounting for Seasonal Spectral Variability
R. Borsoi
Tales Imbiriba
J. Bermudez
39
96
0
30 Aug 2018
Improved Deep Spectral Convolution Network For Hyperspectral Unmixing
  With Multinomial Mixture Kernel and Endmember Uncertainty
Improved Deep Spectral Convolution Network For Hyperspectral Unmixing With Multinomial Mixture Kernel and Endmember Uncertainty
Savas Ozkan
G. Akar
UQCV
92
14
0
03 Aug 2018
A Data Dependent Multiscale Model for Hyperspectral Unmixing With
  Spectral Variability
A Data Dependent Multiscale Model for Hyperspectral Unmixing With Spectral Variability
R. Borsoi
Tales Imbiriba
J. Bermudez
53
33
0
02 Aug 2018
An Unsupervised Approach to Solving Inverse Problems using Generative
  Adversarial Networks
An Unsupervised Approach to Solving Inverse Problems using Generative Adversarial Networks
Rushil Anirudh
Jayaraman J. Thiagarajan
B. Kailkhura
T. Bremer
GAN
52
37
0
18 May 2018
A Low-rank Tensor Regularization Strategy for Hyperspectral Unmixing
A Low-rank Tensor Regularization Strategy for Hyperspectral Unmixing
Tales Imbiriba
R. Borsoi
J. Bermudez
27
23
0
16 Mar 2018
Solving Linear Inverse Problems Using GAN Priors: An Algorithm with
  Provable Guarantees
Solving Linear Inverse Problems Using GAN Priors: An Algorithm with Provable Guarantees
Viraj Shah
Chinmay Hegde
GAN
89
166
0
23 Feb 2018
Blind Image Deconvolution using Deep Generative Priors
Blind Image Deconvolution using Deep Generative Priors
Muhammad Asim
Fahad Shamshad
Ali Ahmed
63
96
0
12 Feb 2018
Tech Report: A Fast Multiscale Spatial Regularization for Sparse
  Hyperspectral Unmixing
Tech Report: A Fast Multiscale Spatial Regularization for Sparse Hyperspectral Unmixing
R. Borsoi
Tales Imbiriba
J. Bermudez
C. Richard
51
90
0
05 Dec 2017
Generalized linear mixing model accounting for endmember variability
Generalized linear mixing model accounting for endmember variability
Tales Imbiriba
R. Borsoi
J. Bermudez
53
79
0
20 Oct 2017
EndNet: Sparse AutoEncoder Network for Endmember Extraction and
  Hyperspectral Unmixing
EndNet: Sparse AutoEncoder Network for Endmember Extraction and Hyperspectral Unmixing
Savas Ozkan
Berk Kaya
G. Akar
40
193
0
06 Aug 2017
Global Guarantees for Enforcing Deep Generative Priors by Empirical Risk
Global Guarantees for Enforcing Deep Generative Priors by Empirical Risk
Paul Hand
V. Voroninski
UQCV
123
138
0
22 May 2017
Compressed Sensing using Generative Models
Compressed Sensing using Generative Models
Ashish Bora
A. Jalal
Eric Price
A. Dimakis
141
808
0
09 Mar 2017
Tutorial on Variational Autoencoders
Tutorial on Variational Autoencoders
Carl Doersch
BDL
DRL
94
1,741
0
19 Jun 2016
Nonparametric Detection of Nonlinearly Mixed Pixels and Endmember
  Estimation in Hyperspectral Images
Nonparametric Detection of Nonlinearly Mixed Pixels and Endmember Estimation in Hyperspectral Images
Tales Imbiriba
J. Bermudez
C. Richard
J. Tourneret
91
31
0
18 Mar 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
1.6K
149,842
0
22 Dec 2014
Nonlinear unmixing of hyperspectral images: models and algorithms
Nonlinear unmixing of hyperspectral images: models and algorithms
N. Dobigeon
J. Tourneret
C. Richard
J. Bermudez
S. Mclaughlin
Alfred Hero
59
417
0
06 Apr 2013
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