A Convex Formulation for Hyperspectral Image Superresolution via Subspace-Based Regularization
暂无分享,去创建一个
Jocelyn Chanussot | José M. Bioucas-Dias | Luís B. Almeida | Miguel Simões | L. Almeida | J. Bioucas-Dias | J. Chanussot | M. Simões
[1] Mário A. T. Figueiredo,et al. Deconvolving Images With Unknown Boundaries Using the Alternating Direction Method of Multipliers , 2012, IEEE Transactions on Image Processing.
[2] Fionn Murtagh,et al. Image restoration with noise suppression using the wavelet transform , 1994 .
[3] Yücel Altunbasak,et al. Super-resolution reconstruction of hyperspectral images , 2004, IEEE Transactions on Image Processing.
[4] Lucien Wald,et al. Quality of high resolution synthesised images: Is there a simple criterion ? , 2000 .
[5] Aggelos K. Katsaggelos,et al. A survey of classical methods and new trends in pansharpening of multispectral images , 2011, EURASIP J. Adv. Signal Process..
[6] M. Nikolova. An Algorithm for Total Variation Minimization and Applications , 2004 .
[7] Naoto Yokoya,et al. Coupled Nonnegative Matrix Factorization Unmixing for Hyperspectral and Multispectral Data Fusion , 2012, IEEE Transactions on Geoscience and Remote Sensing.
[8] Laurent Condat,et al. A Primal–Dual Splitting Method for Convex Optimization Involving Lipschitzian, Proximable and Linear Composite Terms , 2013, J. Optim. Theory Appl..
[9] Amandine Robin,et al. Determining the Intrinsic Dimension of a Hyperspectral Image Using Random Matrix Theory , 2013, IEEE Transactions on Image Processing.
[10] Antonin Chambolle,et al. A First-Order Primal-Dual Algorithm for Convex Problems with Applications to Imaging , 2011, Journal of Mathematical Imaging and Vision.
[11] Guangjian Yan,et al. Improved Methods for Spectral Calibration of On-Orbit Imaging Spectrometers , 2010, IEEE Transactions on Geoscience and Remote Sensing.
[12] Jocelyn Chanussot,et al. A New Pansharpening Method Based on Spatial and Spectral Sparsity Priors , 2014, IEEE Transactions on Image Processing.
[13] Marc Teboulle,et al. Fast Gradient-Based Algorithms for Constrained Total Variation Image Denoising and Deblurring Problems , 2009, IEEE Transactions on Image Processing.
[14] Liangpei Zhang,et al. Hyperspectral Image Denoising Employing a Spectral–Spatial Adaptive Total Variation Model , 2012, IEEE Transactions on Geoscience and Remote Sensing.
[15] Quan Pan,et al. Hyperspectral imagery super-resolution by sparse representation and spectral regularization , 2011, EURASIP J. Adv. Signal Process..
[16] L. Rudin,et al. Nonlinear total variation based noise removal algorithms , 1992 .
[17] Bruno A. Olshausen,et al. Learning Sparse Codes for Hyperspectral Imagery , 2011, IEEE Journal of Selected Topics in Signal Processing.
[18] Antonio J. Plaza,et al. Hyperspectral Unmixing Overview: Geometrical, Statistical, and Sparse Regression-Based Approaches , 2012, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.
[19] K. Egiazarian,et al. Blind image deconvolution , 2007 .
[20] I. Johnstone,et al. Adapting to Unknown Smoothness via Wavelet Shrinkage , 1995 .
[21] T. Chan,et al. Fast dual minimization of the vectorial total variation norm and applications to color image processing , 2008 .
[22] Jean-Luc Starck,et al. Deconvolution and Blind Deconvolution in Astronomy , 2007 .
[23] Yifan Zhang,et al. Noise-Resistant Wavelet-Based Bayesian Fusion of Multispectral and Hyperspectral Images , 2009, IEEE Transactions on Geoscience and Remote Sensing.
[24] Junfeng Yang,et al. A New Alternating Minimization Algorithm for Total Variation Image Reconstruction , 2008, SIAM J. Imaging Sci..
[25] Kaihua Zhang,et al. Spatio-spectral fusion of satellite images based on dictionary-pair learning , 2014, Inf. Fusion.
[26] Russell C. Hardie,et al. MAP estimation for hyperspectral image resolution enhancement using an auxiliary sensor , 2004, IEEE Transactions on Image Processing.
[27] Zongben Xu,et al. Spatial and Spectral Image Fusion Using Sparse Matrix Factorization , 2014, IEEE Transactions on Geoscience and Remote Sensing.
[28] José M. Bioucas-Dias,et al. Hyperspectral Subspace Identification , 2008, IEEE Transactions on Geoscience and Remote Sensing.
[29] Jeffrey A. Fessler,et al. Accelerated Edge-Preserving Image Restoration Without Boundary Artifacts , 2013, IEEE Transactions on Image Processing.
[30] Michael K. Ng,et al. Deblurring and Sparse Unmixing for Hyperspectral Images , 2013, IEEE Transactions on Geoscience and Remote Sensing.
[31] Peyman Milanfar,et al. Robust Multichannel Blind Deconvolution via Fast Alternating Minimization , 2012, IEEE Transactions on Image Processing.
[32] Jocelyn Chanussot,et al. Fusion of hyperspectral and panchromatic images using multiresolution analysis and nonlinear PCA band reduction , 2011, 2011 IEEE International Geoscience and Remote Sensing Symposium.
[33] Michael E. Schaepman,et al. Unmixing-Based Landsat TM and MERIS FR Data Fusion , 2008, IEEE Geoscience and Remote Sensing Letters.
[34] Henry Leung,et al. A Maximum Likelihood Approach to Joint Image Registration and Fusion , 2011, IEEE Transactions on Image Processing.
[35] Jocelyn Chanussot,et al. Pansharpening of Hyperspectral images using spatial distortion optimization , 2009, 2009 16th IEEE International Conference on Image Processing (ICIP).
[36] H. Kramer. Observation of the Earth and Its Environment , 1994 .
[37] Stephen P. Boyd,et al. Distributed Optimization and Statistical Learning via the Alternating Direction Method of Multipliers , 2011, Found. Trends Mach. Learn..
[38] Jocelyn Chanussot,et al. Comparison of Pansharpening Algorithms: Outcome of the 2006 GRS-S Data-Fusion Contest , 2007, IEEE Transactions on Geoscience and Remote Sensing.
[39] Jocelyn Chanussot,et al. Hyperspectral image superresolution: An edge-preserving convex formulation , 2014, 2014 IEEE International Conference on Image Processing (ICIP).
[40] Jean-Yves Tourneret,et al. Bayesian fusion of hyperspectral and multispectral images , 2014, 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
[41] John B. Greer,et al. Sparse Demixing of Hyperspectral Images , 2012, IEEE Transactions on Image Processing.
[42] Subhasis Chaudhuri,et al. Hyperspectral Image Fusion , 2013, Springer New York.
[43] Stephen J. Wright,et al. Numerical Optimization , 2018, Fundamental Statistical Inference.
[44] Yifan Zhang,et al. A Bayesian Restoration Approach for Hyperspectral Images , 2012, IEEE Transactions on Geoscience and Remote Sensing.
[45] José M. Bioucas-Dias,et al. An Augmented Lagrangian Approach to the Constrained Optimization Formulation of Imaging Inverse Problems , 2009, IEEE Transactions on Image Processing.
[46] Multispectral and Hyperspectral Pansharpening : A Critical Examination and New Developments , 2014 .
[47] Jocelyn Chanussot,et al. Synthesis of Multispectral Images to High Spatial Resolution: A Critical Review of Fusion Methods Based on Remote Sensing Physics , 2008, IEEE Transactions on Geoscience and Remote Sensing.
[48] J. Chanussot,et al. Hyperspectral Remote Sensing Data Analysis and Future Challenges , 2013, IEEE Geoscience and Remote Sensing Magazine.
[49] Te-Ming Tu,et al. A fast intensity-hue-saturation fusion technique with spectral adjustment for IKONOS imagery , 2004, IEEE Geoscience and Remote Sensing Letters.
[50] Lawrence Ong,et al. The Earth Observing One (EO-1) Satellite Mission: Over a Decade in Space , 2013, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.
[51] Yasuyuki Matsushita,et al. High-resolution hyperspectral imaging via matrix factorization , 2011, CVPR 2011.
[52] A. Bovik,et al. A universal image quality index , 2002, IEEE Signal Processing Letters.
[53] Gene H. Golub,et al. Generalized cross-validation as a method for choosing a good ridge parameter , 1979, Milestones in Matrix Computation.
[54] Junfeng Yang,et al. ALTERNATING DIRECTION ALGORITHMS FOR TOTAL VARIATION DECONVOLUTION IN IMAGE RECONSTRUCTION , 2009 .
[55] Naoto Yokoya,et al. Cross-Calibration for Data Fusion of EO-1/Hyperion and Terra/ASTER , 2013, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.
[56] Li Xu,et al. Two-Phase Kernel Estimation for Robust Motion Deblurring , 2010, ECCV.
[57] José M. Bioucas-Dias,et al. Vertex component analysis: a fast algorithm to unmix hyperspectral data , 2005, IEEE Transactions on Geoscience and Remote Sensing.
[58] Patrick L. Combettes,et al. Signal Recovery by Proximal Forward-Backward Splitting , 2005, Multiscale Model. Simul..
[59] Bruno Aiazzi,et al. Improving Component Substitution Pansharpening Through Multivariate Regression of MS $+$Pan Data , 2007, IEEE Transactions on Geoscience and Remote Sensing.