Spatio-spectral fusion of satellite images based on dictionary-pair learning

[1]  Bo Huang,et al.  Spatiotemporal Satellite Image Fusion Through One-Pair Image Learning , 2013, IEEE Transactions on Geoscience and Remote Sensing.

[2]  Quan Pan,et al.  Hyperspectral imagery super-resolution by sparse representation and spectral regularization , 2011, EURASIP J. Adv. Signal Process..

[3]  Aggelos K. Katsaggelos,et al.  A survey of classical methods and new trends in pansharpening of multispectral images , 2011, EURASIP J. Adv. Signal Process..

[4]  Luis Alonso,et al.  Regularized Multiresolution Spatial Unmixing for ENVISAT/MERIS and Landsat/TM Image Fusion , 2011, IEEE Geoscience and Remote Sensing Letters.

[5]  Pascal Frossard,et al.  Dictionary Learning , 2011, IEEE Signal Processing Magazine.

[6]  Guangyi Chen,et al.  Denoising of Hyperspectral Imagery Using Principal Component Analysis and Wavelet Shrinkage , 2011, IEEE Transactions on Geoscience and Remote Sensing.

[7]  Antonio J. Plaza,et al.  Sparse Unmixing of Hyperspectral Data , 2011, IEEE Transactions on Geoscience and Remote Sensing.

[8]  Pascal Frossard,et al.  Dictionary learning: What is the right representation for my signal? , 2011 .

[9]  Gonzalo Seco-Granados,et al.  A Reduced Complexity Approach to IAA Beamforming for Efficient DOA Estimation of Coherent Sources , 2011, EURASIP J. Adv. Signal Process..

[10]  Thomas S. Huang,et al.  Image Super-Resolution Via Sparse Representation , 2010, IEEE Transactions on Image Processing.

[11]  Shree K. Nayar,et al.  Generalized Assorted Pixel Camera: Postcapture Control of Resolution, Dynamic Range, and Spectrum , 2010, IEEE Transactions on Image Processing.

[12]  Michael Elad,et al.  On Single Image Scale-Up Using Sparse-Representations , 2010, Curves and Surfaces.

[13]  Stephen J. Wright,et al.  Computational Methods for Sparse Solution of Linear Inverse Problems , 2010, Proceedings of the IEEE.

[14]  Michael Elad,et al.  Dictionaries for Sparse Representation Modeling , 2010, Proceedings of the IEEE.

[15]  Mohamed Rached Boussema,et al.  A comparative study for unmixing based Landsat ETM+ and ASTER image fusion , 2010, Int. J. Appl. Earth Obs. Geoinformation.

[16]  Jocelyn Chanussot,et al.  Pansharpening Quality Assessment Using the Modulation Transfer Functions of Instruments , 2009, IEEE Transactions on Geoscience and Remote Sensing.

[17]  Bruno Aiazzi,et al.  A Comparison Between Global and Context-Adaptive Pansharpening of Multispectral Images , 2009, IEEE Geoscience and Remote Sensing Letters.

[18]  Michael E. Schaepman,et al.  Unmixing-Based Landsat TM and MERIS FR Data Fusion , 2008, IEEE Geoscience and Remote Sensing Letters.

[19]  S. Baronti,et al.  Multispectral and panchromatic data fusion assessment without reference , 2008 .

[20]  M. Elad,et al.  $rm K$-SVD: An Algorithm for Designing Overcomplete Dictionaries for Sparse Representation , 2006, IEEE Transactions on Signal Processing.

[21]  Robert A. Schowengerdt,et al.  Remote Sensing, Third Edition: Models and Methods for Image Processing , 2006 .

[22]  Frédéric Bretar,et al.  Comparison of RADARSAT-1 and IKONOS satellite images for urban features detection , 2005, Inf. Fusion.

[23]  Russell C. Hardie,et al.  Hyperspectral resolution enhancement using high-resolution multispectral imagery with arbitrary response functions , 2005, IEEE Transactions on Geoscience and Remote Sensing.

[24]  A. Bruckstein,et al.  K-SVD : An Algorithm for Designing of Overcomplete Dictionaries for Sparse Representation , 2005 .

[25]  Joel A. Tropp,et al.  Greed is good: algorithmic results for sparse approximation , 2004, IEEE Transactions on Information Theory.

[26]  Russell C. Hardie,et al.  Application of the stochastic mixing model to hyperspectral resolution enhancement , 2004, IEEE Transactions on Geoscience and Remote Sensing.

[27]  Russell C. Hardie,et al.  MAP estimation for hyperspectral image resolution enhancement using an auxiliary sensor , 2004, IEEE Transactions on Image Processing.

[28]  Patrik O. Hoyer,et al.  Non-negative Matrix Factorization with Sparseness Constraints , 2004, J. Mach. Learn. Res..

[29]  Eero P. Simoncelli,et al.  Image quality assessment: from error visibility to structural similarity , 2004, IEEE Transactions on Image Processing.

[30]  Chein-I Chang,et al.  Estimation of number of spectrally distinct signal sources in hyperspectral imagery , 2004, IEEE Transactions on Geoscience and Remote Sensing.

[31]  Antonio J. Plaza,et al.  A quantitative and comparative analysis of endmember extraction algorithms from hyperspectral data , 2004, IEEE Transactions on Geoscience and Remote Sensing.

[32]  PROCEssIng magazInE IEEE Signal Processing Magazine , 2004 .

[33]  David A. Landgrebe,et al.  Hyperspectral image data analysis , 2002, IEEE Signal Process. Mag..

[34]  John F. Mustard,et al.  Spectral unmixing , 2002, IEEE Signal Process. Mag..

[35]  Audrey Minghelli-Roman,et al.  Spatial resolution improvement of MeRIS images by fusion with TM images , 2001, IEEE Trans. Geosci. Remote. Sens..

[36]  H. Sebastian Seung,et al.  Learning the parts of objects by non-negative matrix factorization , 1999, Nature.

[37]  Dieter Oertel,et al.  Unmixing-based multisensor multiresolution image fusion , 1999, IEEE Trans. Geosci. Remote. Sens..

[38]  Robert A. Schowengerdt,et al.  Remote sensing, models, and methods for image processing , 1997 .

[39]  R. Tibshirani Regression Shrinkage and Selection via the Lasso , 1996 .

[40]  J. Boardman,et al.  Discrimination among semi-arid landscape endmembers using the Spectral Angle Mapper (SAM) algorithm , 1992 .