Regularization Parameter Estimation for Non-Negative Hyperspectral Image Deconvolution

Yingying Song; David Brie; El-Hadi Djermoune; Simon Henrot

doi:10.1109/tip.2016.2601489

Regularization Parameter Estimation for Non-Negative Hyperspectral Image Deconvolution

IEEE Transactions on Image Processing ◽

10.1109/tip.2016.2601489 ◽

2016 ◽

Vol 25 (11) ◽

pp. 5316-5330 ◽

Cited By ~ 6

Author(s):

Yingying Song ◽

David Brie ◽

El-Hadi Djermoune ◽

Simon Henrot

Keyword(s):

Parameter Estimation ◽

Hyperspectral Image ◽

Regularization Parameter ◽

Image Deconvolution

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Regularized supervised Bayesian approach for image deconvolution with regularization parameter estimation

EURASIP Journal on Advances in Signal Processing ◽

10.1186/s13634-020-00671-w ◽

2020 ◽

Vol 2020 (1) ◽

Author(s):

Bouchra Laaziri ◽

Said Raghay ◽

Abdelilah Hakim

Keyword(s):

Parameter Estimation ◽

Bayesian Approach ◽

Regularization Parameter ◽

Image Deconvolution

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Regularization parameter estimation for underdetermined problems by the χ 2 principle with application to 2D focusing gravity inversion

Inverse Problems ◽

10.1088/0266-5611/30/8/085002 ◽

2014 ◽

Vol 30 (8) ◽

pp. 085002 ◽

Cited By ~ 6

Author(s):

Saeed Vatankhah ◽

Rosemary A Renaut ◽

Vahid E Ardestani

Keyword(s):

Parameter Estimation ◽

Regularization Parameter ◽

Gravity Inversion

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Universal Golomb–Rice Coding Parameter Estimation Using Deep Belief Networks for Hyperspectral Image Compression

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing ◽

10.1109/jstars.2018.2864921 ◽

2018 ◽

Vol 11 (10) ◽

pp. 3830-3840 ◽

Cited By ~ 3

Author(s):

Zhuocheng Jiang ◽

W. David Pan ◽

Hongda Shen

Keyword(s):

Parameter Estimation ◽

Image Compression ◽

Hyperspectral Image ◽

Belief Networks ◽

Deep Belief Networks ◽

Hyperspectral Image Compression

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Optimal Regularization Parameter Estimation for Regularized Discriminant Analysis

Advanced Intelligent Computing - Lecture Notes in Computer Science ◽

10.1007/978-3-642-24728-6_11 ◽

2011 ◽

pp. 77-82

Author(s):

Lin Zhu

Keyword(s):

Parameter Estimation ◽

Discriminant Analysis ◽

Regularization Parameter

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Fast Golomb coding parameter estimation using partial data and its application in hyperspectral image compression

SoutheastCon 2016 ◽

10.1109/secon.2016.7506666 ◽

2016 ◽

Cited By ~ 1

Author(s):

Hongda Shen ◽

W. David Pan ◽

Dongsheng Wu ◽

Maliha Lubna

Keyword(s):

Parameter Estimation ◽

Image Compression ◽

Hyperspectral Image ◽

Partial Data ◽

Hyperspectral Image Compression

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Regularization parameter estimation for point-based synthetic aperture radar image feature enhancement based on Mellin transform

Journal of Applied Remote Sensing ◽

10.1117/1.jrs.11.045002 ◽

2017 ◽

Vol 11 (04) ◽

pp. 1 ◽

Cited By ~ 1

Author(s):

Shujuan Peng ◽

Changwen Qu ◽

Jianwei Li ◽

Zhi Li ◽

Bing Deng

Keyword(s):

Parameter Estimation ◽

Synthetic Aperture Radar ◽

Mellin Transform ◽

Regularization Parameter ◽

Synthetic Aperture Radar Image ◽

Image Feature ◽

Radar Image ◽

Synthetic Aperture ◽

Feature Enhancement ◽

Image Feature Enhancement

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Hyperspectral Image Deconvolution with a Spectral-Spatial Total Variation Regularization

Canadian Journal of Remote Sensing ◽

10.1080/07038992.2017.1356221 ◽

2017 ◽

Vol 43 (4) ◽

pp. 384-395 ◽

Cited By ~ 3

Author(s):

Houzhang Fang ◽

Chunan Luo ◽

Gang Zhou ◽

Xiaoping Wang

Keyword(s):

Total Variation ◽

Hyperspectral Image ◽

Total Variation Regularization ◽

Image Deconvolution

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High-order total variation-based Poissonian image deconvolution with spatially adapted regularization parameter

Applied Mathematical Modelling ◽

10.1016/j.apm.2017.01.009 ◽

2017 ◽

Vol 45 ◽

pp. 516-529 ◽

Cited By ~ 15

Author(s):

Jun Liu ◽

Ting-Zhu Huang ◽

Xiao-Guang Lv ◽

Si Wang

Keyword(s):

Total Variation ◽

Regularization Parameter ◽

High Order ◽

Image Deconvolution

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Efficient regularization parameter estimation based incomplete orthogonalization method

10.1117/12.837781 ◽

2009 ◽

Author(s):

Kai Xie

Keyword(s):

Parameter Estimation ◽

Regularization Parameter ◽

Orthogonalization Method

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Minimum distance criterion for non-negative hyperspectral image deconvolution

2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) ◽

10.1109/icassp.2016.7472490 ◽

2016 ◽

Author(s):

Yingying Song ◽

David Brie ◽

El-Hadi Djermoune ◽

Simon Henrot

Keyword(s):

Minimum Distance ◽

Hyperspectral Image ◽

Image Deconvolution

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