Joint Local Abundance Sparse Unmixing for Hyperspectral Images
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[1] Qian Du,et al. PSO-EM: A Hyperspectral Unmixing Algorithm Based On Normal Compositional Model , 2014, IEEE Transactions on Geoscience and Remote Sensing.
[2] Yahya H. Zweiri,et al. Hybrid Spectral Unmixing: Using Artificial Neural Networks for Linear/Non-Linear Switching , 2017, Remote. Sens..
[3] Masahiro Okuda,et al. Local abundance regularization for hyperspectral sparse unmixing , 2016, 2016 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA).
[4] Andreas T. Ernst,et al. ICE: a statistical approach to identifying endmembers in hyperspectral images , 2004, IEEE Transactions on Geoscience and Remote Sensing.
[5] Chein-I Chang,et al. An improved NMF algorithm based on spatial and abundance constraints , 2016, 2016 Progress in Electromagnetic Research Symposium (PIERS).
[6] José M. Bioucas-Dias,et al. Vertex component analysis: a fast algorithm to unmix hyperspectral data , 2005, IEEE Transactions on Geoscience and Remote Sensing.
[7] Patrick L. Combettes,et al. Proximal Splitting Methods in Signal Processing , 2009, Fixed-Point Algorithms for Inverse Problems in Science and Engineering.
[8] Yongqiang Zhao,et al. Hyperspectral image denoising via sparsity and low rank , 2013, 2013 IEEE International Geoscience and Remote Sensing Symposium - IGARSS.
[9] Gaofeng Meng,et al. Effective Spectral Unmixing via Robust Representation and Learning-based Sparsity , 2014, ArXiv.
[10] Antonio J. Plaza,et al. On Endmember Identification in Hyperspectral Images Without Pure Pixels: A Comparison of Algorithms , 2011, Journal of Mathematical Imaging and Vision.
[11] Ying Wang,et al. Structured Sparse Method for Hyperspectral Unmixing , 2014, ArXiv.
[12] John F. Mustard,et al. Spectral unmixing , 2002, IEEE Signal Process. Mag..
[13] Sen Jia,et al. Constrained Nonnegative Matrix Factorization for Hyperspectral Unmixing , 2009, IEEE Transactions on Geoscience and Remote Sensing.
[14] Bo Du,et al. Hyperspectral Unmixing via Double Abundance Characteristics Constraints Based NMF , 2016, Remote. Sens..
[15] Konstantinos Koutroumbas,et al. Semi-Supervised Hyperspectral Unmixing via the Weighted Lasso , 2010, ICASSP.
[16] Shaoquan Zhang,et al. Hyperspectral Unmixing Based on Local Collaborative Sparse Regression , 2016, IEEE Geoscience and Remote Sensing Letters.
[17] Liangpei Zhang,et al. Hyperspectral Image Restoration Using Low-Rank Matrix Recovery , 2014, IEEE Transactions on Geoscience and Remote Sensing.
[18] Shunsuke Ono,et al. Color-Line Regularization for Color Artifact Removal , 2016, IEEE Transactions on Computational Imaging.
[19] Antonio J. Plaza,et al. Total Variation Spatial Regularization for Sparse Hyperspectral Unmixing , 2012, IEEE Transactions on Geoscience and Remote Sensing.
[20] Jocelyn Chanussot,et al. Foreword to the Special Issue on Hyperspectral Remote Sensing and Imaging Spectroscopy , 2018, IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens..
[21] Antonio J. Plaza,et al. Collaborative Sparse Regression for Hyperspectral Unmixing , 2014, IEEE Transactions on Geoscience and Remote Sensing.
[22] David A. Landgrebe,et al. Hyperspectral image data analysis , 2002, IEEE Signal Process. Mag..
[23] Sen Jia,et al. Spectral and Spatial Complexity-Based Hyperspectral Unmixing , 2007, IEEE Transactions on Geoscience and Remote Sensing.
[24] Yongqiang Zhao,et al. Hyperspectral Image Denoising via Sparse Representation and Low-Rank Constraint , 2015, IEEE Transactions on Geoscience and Remote Sensing.
[25] J. Moreau. Fonctions convexes duales et points proximaux dans un espace hilbertien , 1962 .
[26] Peg Shippert. Why Use Hyperspectral Imagery , 2004 .
[27] Il-Min Kim,et al. ℓ0-Norm Sparse Hyperspectral Unmixing Using Arctan Smoothing , 2016, Remote. Sens..
[28] Naoto Yokoya,et al. Nonlinear Unmixing of Hyperspectral Data Using Semi-Nonnegative Matrix Factorization , 2014, IEEE Transactions on Geoscience and Remote Sensing.
[29] José M. Bioucas-Dias,et al. Alternating direction algorithms for constrained sparse regression: Application to hyperspectral unmixing , 2010, 2010 2nd Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing.
[30] Zhenwei Shi,et al. Sparse Unmixing of Hyperspectral Data Using Spectral A Priori Information , 2015, IEEE Transactions on Geoscience and Remote Sensing.
[31] Masahiro Okuda,et al. Local Spectral Component Decomposition for Multi-Channel Image Denoising , 2016, IEEE Transactions on Image Processing.
[32] Trac D. Tran,et al. Abundance Estimation for Bilinear Mixture Models via Joint Sparse and Low-Rank Representation , 2014, IEEE Transactions on Geoscience and Remote Sensing.
[33] Seong G. Kong,et al. Coupled Sparse Denoising and Unmixing With Low-Rank Constraint for Hyperspectral Image , 2016, IEEE Transactions on Geoscience and Remote Sensing.
[34] H. Sebastian Seung,et al. Learning the parts of objects by non-negative matrix factorization , 1999, Nature.
[35] Antonio J. Plaza,et al. Sparse Unmixing of Hyperspectral Data , 2011, IEEE Transactions on Geoscience and Remote Sensing.
[36] Emmanuel J. Candès,et al. Decoding by linear programming , 2005, IEEE Transactions on Information Theory.
[37] Jocelyn Chanussot,et al. Nonlinear Spectral Unmixing for the Characterisation of Volcanic Surface Deposit and Airborne Plumes from Remote Sensing Imagery , 2017 .
[38] Jin Chen,et al. A Quantitative Analysis of Virtual Endmembers' Increased Impact on the Collinearity Effect in Spectral Unmixing , 2011, IEEE Transactions on Geoscience and Remote Sensing.
[39] Gaofeng Meng,et al. Spectral Unmixing via Data-Guided Sparsity , 2014, IEEE Transactions on Image Processing.
[40] Rob Heylen,et al. Spatial Resolution Enhancement of Hyperspectral Images Using Spectral Unmixing and Bayesian Sparse Representation , 2017, Remote. Sens..
[41] Liangpei Zhang,et al. Non-Local Sparse Unmixing for Hyperspectral Remote Sensing Imagery , 2014, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.
[42] 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.
[43] V. P. Pauca,et al. Nonnegative matrix factorization for spectral data analysis , 2006 .
[44] Jiayi Ma,et al. Hyperspectral Unmixing with Robust Collaborative Sparse Regression , 2016, Remote. Sens..
[45] Paris V. Giampouras,et al. Simultaneously Sparse and Low-Rank Abundance Matrix Estimation for Hyperspectral Image Unmixing , 2015, IEEE Transactions on Geoscience and Remote Sensing.
[46] Antonio J. Plaza,et al. Spatial Preprocessing for Endmember Extraction , 2009, IEEE Transactions on Geoscience and Remote Sensing.