Nonnegative Tensor CP Decomposition of Hyperspectral Data
暂无分享,去创建一个
Jocelyn Chanussot | Pierre Comon | Miguel Angel Veganzones | Rodrigo Cabral Farias | Jeremy E. Cohen | P. Comon | J. Chanussot | M. Veganzones
[1] Pierre Comon,et al. Tensors : A brief introduction , 2014, IEEE Signal Processing Magazine.
[2] F. L. Hitchcock. The Expression of a Tensor or a Polyadic as a Sum of Products , 1927 .
[3] Jon Atli Benediktsson,et al. Recent Advances in Techniques for Hyperspectral Image Processing , 2009 .
[4] J. Chanussot,et al. Hyperspectral Remote Sensing Data Analysis and Future Challenges , 2013, IEEE Geoscience and Remote Sensing Magazine.
[5] Nikos D. Sidiropoulos,et al. Parallel Randomly Compressed Cubes : A scalable distributed architecture for big tensor decomposition , 2014, IEEE Signal Processing Magazine.
[6] 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.
[7] David Mary,et al. Restoration of Astrophysical Spectra With Sparsity Constraints: Models and Algorithms , 2011, IEEE Journal of Selected Topics in Signal Processing.
[8] Andrzej Cichocki,et al. Decomposition of Big Tensors With Low Multilinear Rank , 2014, ArXiv.
[9] Jocelyn Chanussot,et al. Multilinear spectral unmixing of hyperspectral multiangle images , 2015, 2015 23rd European Signal Processing Conference (EUSIPCO).
[10] Joel E. Cohen,et al. Nonnegative ranks, decompositions, and factorizations of nonnegative matrices , 1993 .
[11] Linda B. Hayden,et al. Compact reconnaissance imaging spectrometer for MARS (CRISM) , 2011, 2011 IEEE International Geoscience and Remote Sensing Symposium.
[12] Shunlin Liang,et al. Earth system science related imaging spectroscopy — an assessment , 2009 .
[13] Giorgio Ottaviani,et al. An Algorithm For Generic and Low-Rank Specific Identifiability of Complex Tensors , 2014, SIAM J. Matrix Anal. Appl..
[14] K. C. Ho,et al. Endmember Variability in Hyperspectral Analysis: Addressing Spectral Variability During Spectral Unmixing , 2014, IEEE Signal Processing Magazine.
[15] 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.
[16] Cindy Ong,et al. International Spaceborne Imaging Spectroscopy (ISIS) Technical Committee [Technical Committees] , 2014 .
[17] Qiang Zhang,et al. Tensor methods for hyperspectral data analysis: a space object material identification study. , 2008, Journal of the Optical Society of America. A, Optics, image science, and vision.
[18] A F Goetz,et al. Imaging Spectrometry for Earth Remote Sensing , 1985, Science.
[19] Joos Vandewalle,et al. A Multilinear Singular Value Decomposition , 2000, SIAM J. Matrix Anal. Appl..
[20] Nikos D. Sidiropoulos,et al. Parallel Algorithms for Constrained Tensor Factorization via Alternating Direction Method of Multipliers , 2014, IEEE Transactions on Signal Processing.
[21] Rasmus Bro,et al. MULTI-WAY ANALYSIS IN THE FOOD INDUSTRY Models, Algorithms & Applications , 1998 .
[22] J. Kruskal. Three-way arrays: rank and uniqueness of trilinear decompositions, with application to arithmetic complexity and statistics , 1977 .
[23] Pierre Comon,et al. Fast Decomposition of Large Nonnegative Tensors , 2015, IEEE Signal Processing Letters.
[24] Andrzej Cichocki,et al. Nonnegative Matrix and Tensor Factorization T , 2007 .
[25] Caroline Fossati,et al. Improvement of Classification for Hyperspectral Images Based on Tensor Modeling , 2010, IEEE Geoscience and Remote Sensing Letters.
[26] Alexander F. H. Goetz,et al. Three decades of hyperspectral remote sensing of the Earth: a personal view. , 2009 .
[27] H. Kiers. Towards a standardized notation and terminology in multiway analysis , 2000 .
[28] Pierre Comon,et al. Nonnegative approximations of nonnegative tensors , 2009, ArXiv.
[29] Pierre Comon,et al. Uniqueness of Nonnegative Tensor Approximations , 2014, IEEE Transactions on Information Theory.
[30] Salah Bourennane,et al. Nonorthogonal Tensor Matricization for Hyperspectral Image Filtering , 2008, IEEE Geoscience and Remote Sensing Letters.
[31] Jesús Angulo,et al. Classification of hyperspectral images by tensor modeling and additive morphological decomposition , 2013, Pattern Recognit..
[32] P. Paatero. A weighted non-negative least squares algorithm for three-way ‘PARAFAC’ factor analysis , 1997 .
[33] Margaret E. Gardner,et al. Mapping Chaparral in the Santa Monica Mountains Using Multiple Endmember Spectral Mixture Models , 1998 .
[34] Alfred O. Hero,et al. Joint Bayesian Endmember Extraction and Linear Unmixing for Hyperspectral Imagery , 2009, IEEE Transactions on Signal Processing.
[35] Jon Atli Benediktsson,et al. Adaptive Markov Random Fields for Joint Unmixing and Segmentation of Hyperspectral Images , 2013, IEEE Transactions on Image Processing.
[36] Liangpei Zhang,et al. Tensor Discriminative Locality Alignment for Hyperspectral Image Spectral–Spatial Feature Extraction , 2013, IEEE Transactions on Geoscience and Remote Sensing.