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检索条件"主题词=regularization parameter estimation"
14 条 记 录,以下是1-10 订阅
排序:
Hyperspectral Image Super-Resolution via Deep Prior regularization With parameter estimation
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IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY 2022年 第4期32卷 1708-1723页
作者: Wang, Xiuheng Chen, Jie Wei, Qi Richard, Cedric Northwestern Polytech Univ Sch Marine Sci & Technol Xian 710072 Peoples R China JP Morgan New York NY 10017 USA Univ Cote dAzur OCA CNRS F-06108 Nice France
Hyperspectral image (HSI) super-resolution is commonly used to overcome the hardware limitations of existing hyperspectral imaging systems on spatial resolution. It fuses a low-resolution (LR) HSI and a high-resolutio... 详细信息
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regularization parameter estimation for Non-Negative Hyperspectral Image Deconvolution
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IEEE TRANSACTIONS ON IMAGE PROCESSING 2016年 第11期25卷 5316-5330页
作者: Song, Yingying Brie, David Djermoune, El-Hadi Henrot, Simon Univ Lorraine Ctr Rech Automat Nancy F-54506 Vandoeuvre Les Nancy France Univ Lorraine Ctr Natl Rech Sci F-54506 Vandoeuvre Les Nancy France Signal & Image Dept Grenoble Images Parole Signal Automat Lab F-38402 St Martin Dheres France
This paper aims at studying a method to automatically estimate the regularization parameters of non-negative hyperspectral image deconvolution methods. The deconvolution problem is formulated as a multi-objective opti... 详细信息
来源: 评论
Blind separation of structural modes by compact-bandwidth regularization
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MECHANICAL SYSTEMS AND SIGNAL PROCESSING 2019年 131卷 288-316页
作者: Wang, Li Huang, Min Lu, Zhong-Rong Sun Yat Sen Univ Sch Aeronaut & Astronaut Guangzhou Guangdong Peoples R China Sun Yat Sen Univ Sch Intelligent Syst Engn Guangzhou Guangdong Peoples R China
Operational modal analysis (OMA) has received tremendous interest from engineering fields in recent years. This paper develops a compact-bandwidth regularization approach for OMA within the signal processing framework... 详细信息
来源: 评论
Efficient estimation of regularization parameters via downsampling and the singular value expansion
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BIT NUMERICAL MATHEMATICS 2017年 第2期57卷 499-529页
作者: Renaut, Rosemary A. Horst, Michael Wang, Yang Cochran, Douglas Hansen, Jakob Arizona State Univ Sch Math & Stat Sci POB 871804 Tempe AZ 85287 USA Ohio State Univ Dept Math 100 Math Tower231 West 18th Ave Columbus OH 43210 USA Hong Kong Univ Sci & Technol Dept Math Kowloon Hong Kong Peoples R China Arizona State Univ Sch Elect Comp & Energy Engn Ira A Fulton Sch Engn POB 875706 Tempe AZ 85287 USA Univ Penn David Rittenhouse Lab 209 S 33rd St Philadelphia PA 19104 USA
The solution, , of the linear system of equations arising from the discretization of an ill-posed integral equation with a square integrable kernel H(s, t) is considered. The Tikhonov regularized solution approximatin... 详细信息
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Spatial resolution improvement of hyperspectral images by deconvolution and joint unmixing-deconvolution
Spatial resolution improvement of hyperspectral images by de...
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作者: Yingying Song Universite de Lorraine
学位级别:博士
A hyperspectral image is a 3D data cube in which every pixel provides local spectral information about a scene of interest across a large number of contiguous bands. The observed images may suffer from degradation due ... 详细信息
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HYBRID AND ITERATIVELY REWEIGHTED regularization BY UNBIASED PREDICTIVE RISK AND WEIGHTED GCV FOR PROJECTED SYSTEMS
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SIAM JOURNAL ON SCIENTIFIC COMPUTING 2017年 第2期39卷 B221-B243页
作者: Renaut, Rosemary A. Vatankhah, Saeed Ardestani, Vahid E. Arizona State Univ Sch Math & Stat Sci Tempe AZ 85287 USA Univ Tehran Inst Geophys Tehran Iran
Tikhonov regularization for projected solutions of large-scale ill-posed problems is considered. The Golub-Kahan iterative bidiagonalization is used to project the problem onto a subspace and regularization then appli... 详细信息
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A New Method of regularization parameter estimation for Source Localization
A New Method of Regularization Parameter Estimation for Sour...
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2011 IEEE CIE International Conference on Radar(2011年IEEE国际雷达会议RADAR 2011)
作者: Juanru Huang Mei Dong Shili Li National Key Lab for Radar Signal Processing Xidian Univ. Xi’an 710071 China
The problem of estimating the regularization parameter for source localization in sparse-regularization framework is considered in this paper. We employ the distribution about every entry of the square of the Frobeniu... 详细信息
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MINIMUM DISTANCE CRITERION FOR NON-NEGATIVE HYPERSPECTRAL IMAGE DECONVOLUTION  41
MINIMUM DISTANCE CRITERION FOR NON-NEGATIVE HYPERSPECTRAL IM...
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41st IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
作者: Song, Yingying Brie, David Djermoune, El-Hadi Henrot, Simon Univ Lorraine Ctr Rech Automat Nancy CNRS Blvd Aiguilletes BP 239 F-54506 Vandoeuvre Les Nancy France
This work aims at studying a method to automatically estimate regularization parameters of hyperspectral images deconvolution methods. The deconvolution problem is formulated as a multi-objective optimization problem ... 详细信息
来源: 评论
Numerical Methods for parameter estimation in Poisson Data Inversion
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JOURNAL OF MATHEMATICAL IMAGING AND VISION 2015年 第3期52卷 397-413页
作者: Zanni, Luca Benfenati, Alessandro Bertero, Mario Ruggiero, Valeria Univ Modena & Reggio Emilia Dipartimento Sci Fis Informat & Matemat I-41125 Modena Italy Univ Ferrara Dipartimento Matemat & Informat I-44122 Ferrara Italy Univ Genoa Dipartimento Informat Bioingn Robot & Ingn Sistem I-16146 Genoa Italy
In a regularized approach to Poisson data inversion, the problem is reduced to the minimization of an objective function which consists of two terms: a data-fidelity function, related to a generalized Kullback-Leibler... 详细信息
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MINIMUM DISTANCE CRITERION FOR NON-NEGATIVE HYPERSPECTRAL IMAGE DECONVOLUTION
MINIMUM DISTANCE CRITERION FOR NON-NEGATIVE HYPERSPECTRAL IM...
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IEEE International Conference on Acoustics, Speech and Signal Processing
作者: Yingying Song David Brie El-Hadi Djermoune Simon Henrot Université de Lorraine Centre de Recherche en Automatique de Nancy (CRAN) CNRS Boulevard des Aiguilletes B.P. 239 F-54506 Vandoeuvre-lès-Nancy France
This work aims at studying a method to automatically estimate regularization parameters of hyperspectral images deconvolution methods. The deconvolution problem is formulated as a multi-objective optimization problem ... 详细信息
来源: 评论