Column-generation kernel nonlocal joint collaborative representation for hyperspectral image classification

[1]  James M. Keller,et al.  A fuzzy K-nearest neighbor algorithm , 1985, IEEE Transactions on Systems, Man, and Cybernetics.

[2]  Bernhard E. Boser,et al.  A training algorithm for optimal margin classifiers , 1992, COLT '92.

[3]  J. Anthony Gualtieri,et al.  Support vector machines for hyperspectral remote sensing classification , 1999, Other Conferences.

[4]  Vladimir N. Vapnik,et al.  The Nature of Statistical Learning Theory , 2000, Statistics for Engineering and Information Science.

[5]  Andrew McCallum,et al.  Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data , 2001, ICML.

[6]  Eleazar Eskin,et al.  The Spectrum Kernel: A String Kernel for SVM Protein Classification , 2001, Pacific Symposium on Biocomputing.

[7]  Jinbo Bi,et al.  Column-generation boosting methods for mixture of kernels , 2004, KDD.

[8]  Lorenzo Bruzzone,et al.  Classification of hyperspectral remote sensing images with support vector machines , 2004, IEEE Transactions on Geoscience and Remote Sensing.

[9]  G. Foody Thematic map comparison: Evaluating the statistical significance of differences in classification accuracy , 2004 .

[10]  Johan A. K. Suykens,et al.  Least Squares Support Vector Machine Classifiers , 1999, Neural Processing Letters.

[11]  Bernhard Schölkopf,et al.  A Primer on Kernel Methods , 2004 .

[12]  Ivor W. Tsang,et al.  Core Vector Machines: Fast SVM Training on Very Large Data Sets , 2005, J. Mach. Learn. Res..

[13]  R.G. Baraniuk,et al.  Distributed Compressed Sensing of Jointly Sparse Signals , 2005, Conference Record of the Thirty-Ninth Asilomar Conference onSignals, Systems and Computers, 2005..

[14]  Joel A. Tropp,et al.  ALGORITHMS FOR SIMULTANEOUS SPARSE APPROXIMATION , 2006 .

[15]  Heesung Kwon,et al.  Kernel matched subspace detectors for hyperspectral target detection , 2006, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[16]  Cordelia Schmid,et al.  Local Features and Kernels for Classification of Texture and Object Categories: A Comprehensive Study , 2006, 2006 Conference on Computer Vision and Pattern Recognition Workshop (CVPRW'06).

[17]  Joel A. Tropp,et al.  Algorithms for simultaneous sparse approximation. Part I: Greedy pursuit , 2006, Signal Process..

[18]  Johannes R. Sveinsson,et al.  Spectral and spatial classification of hyperspectral data using SVMs and morphological profiles , 2008, 2007 IEEE International Geoscience and Remote Sensing Symposium.

[19]  Yihong Gong,et al.  Linear spatial pyramid matching using sparse coding for image classification , 2009, 2009 IEEE Conference on Computer Vision and Pattern Recognition.

[20]  Sebastian Nowozin,et al.  On feature combination for multiclass object classification , 2009, 2009 IEEE 12th International Conference on Computer Vision.

[21]  Allen Y. Yang,et al.  Robust Face Recognition via Sparse Representation , 2009, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[22]  Jon Atli Benediktsson,et al.  Recent Advances in Techniques for Hyperspectral Image Processing , 2009 .

[23]  A. Senthil Kumar,et al.  Hyperspectral image classification by a variable interval spectral average and spectral curve matching combined algorithm , 2010, Int. J. Appl. Earth Obs. Geoinformation.

[24]  Shuicheng Yan,et al.  Visual classification with multi-task joint sparse representation , 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.

[25]  Begüm Demir,et al.  Empirical Mode Decomposition of Hyperspectral Images for Support Vector Machine Classification , 2010, IEEE Transactions on Geoscience and Remote Sensing.

[26]  Ping Zhong,et al.  Learning Conditional Random Fields for Classification of Hyperspectral Images , 2010, IEEE Transactions on Image Processing.

[27]  R. Pontius,et al.  Death to Kappa: birth of quantity disagreement and allocation disagreement for accuracy assessment , 2011 .

[28]  Rama Rao Nidamanuri,et al.  Use of field reflectance data for crop mapping using airborne hyperspectral image , 2011 .

[29]  R. Tibshirani,et al.  Regression shrinkage and selection via the lasso: a retrospective , 2011 .

[30]  Trac D. Tran,et al.  Hyperspectral Image Classification Using Dictionary-Based Sparse Representation , 2011, IEEE Transactions on Geoscience and Remote Sensing.

[31]  David Zhang,et al.  Collaborative Representation based Classification for Face Recognition , 2012, ArXiv.

[32]  Kevin P. Murphy,et al.  Machine learning - a probabilistic perspective , 2012, Adaptive computation and machine learning series.

[33]  Shuicheng Yan,et al.  Visual Classification With Multitask Joint Sparse Representation , 2012, IEEE Transactions on Image Processing.

[34]  Antonio J. Plaza,et al.  A Quantitative and Comparative Assessment of Unmixing-Based Feature Extraction Techniques for Hyperspectral Image Classification , 2012, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

[35]  Antonio J. Plaza,et al.  This article has been accepted for inclusion in a future issue of this journal. Content is final as presented, with the exception of pagination. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING 1 Spectral–Spatial Hyperspectral Image Segmentation Using S , 2022 .

[36]  Liangpei Zhang,et al.  A super-resolution reconstruction algorithm for hyperspectral images , 2012, Signal Process..

[37]  David Zhang,et al.  Relaxed collaborative representation for pattern classification , 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.

[38]  Zhang Yi,et al.  Collaborative neighbor representation based classification using l2-minimization approach , 2013, Pattern Recognit. Lett..

[39]  Jun Zhou,et al.  Hyperspectral Image Classification Based on Structured Sparse Logistic Regression and Three-Dimensional Wavelet Texture Features , 2013, IEEE Transactions on Geoscience and Remote Sensing.

[40]  Trac D. Tran,et al.  Hyperspectral Image Classification via Kernel Sparse Representation , 2011, IEEE Transactions on Geoscience and Remote Sensing.

[41]  Xinwei Zheng,et al.  Automatic Annotation of Satellite Images via Multifeature Joint Sparse Coding With Spatial Relation Constraint , 2013, IEEE Geoscience and Remote Sensing Letters.

[42]  Jon Atli Benediktsson,et al.  Generalized Composite Kernel Framework for Hyperspectral Image Classification , 2013, IEEE Transactions on Geoscience and Remote Sensing.

[43]  Liangpei Zhang,et al.  Hyperspectral Image Classification by Nonlocal Joint Collaborative Representation With a Locally Adaptive Dictionary , 2014, IEEE Transactions on Geoscience and Remote Sensing.

[44]  Liangpei Zhang,et al.  Joint Collaborative Representation With Multitask Learning for Hyperspectral Image Classification , 2014, IEEE Transactions on Geoscience and Remote Sensing.

[45]  Liangpei Zhang,et al.  A Nonlocal Weighted Joint Sparse Representation Classification Method for Hyperspectral Imagery , 2014, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

[46]  Liangpei Zhang,et al.  Supervised Segmentation of Very High Resolution Images by the Use of Extended Morphological Attribute Profiles and a Sparse Transform , 2014, IEEE Geoscience and Remote Sensing Letters.

[47]  Phillipp Kaestner,et al.  Linear And Nonlinear Programming , 2016 .