Blind and Fully Constrained Unmixing of Hyperspectral Images
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David Mary | Cédric Richard | André Ferrari | Rita Ammanouil | C. Richard | A. Ferrari | R. Ammanouil | D. Mary
[1] Richard H. Bartels,et al. Algorithm 432 [C2]: Solution of the matrix equation AX + XB = C [F4] , 1972, Commun. ACM.
[2] W. Fuller,et al. Estimation for a Linear Regression Model with Unknown Diagonal Covariance Matrix , 1978 .
[3] Solution of the matrix equation AX−XB=C , 1986 .
[4] R. Carroll,et al. An asymptotic theory for weighted least-squares with weights estimated by replication , 1988 .
[5] Dimitri P. Bertsekas,et al. On the Douglas—Rachford splitting method and the proximal point algorithm for maximal monotone operators , 1992, Math. Program..
[6] Peter M. Hooper. Iterative weighted least squares estimation in heteroscedastic linear models , 1993 .
[7] Stéphane Mallat,et al. Matching pursuits with time-frequency dictionaries , 1993, IEEE Trans. Signal Process..
[8] Mario Winter,et al. N-FINDR: an algorithm for fast autonomous spectral end-member determination in hyperspectral data , 1999, Optics & Photonics.
[9] Chein-I Chang,et al. Fully constrained least squares linear spectral mixture analysis method for material quantification in hyperspectral imagery , 2001, IEEE Trans. Geosci. Remote. Sens..
[10] Chein-I Chang,et al. Estimation of number of spectrally distinct signal sources in hyperspectral imagery , 2004, IEEE Transactions on Geoscience and Remote Sensing.
[11] José M. Bioucas-Dias,et al. Vertex component analysis: a fast algorithm to unmix hyperspectral data , 2005, IEEE Transactions on Geoscience and Remote Sensing.
[12] Tongxing Lu,et al. Solution of the matrix equation AX−XB=C , 2005, Computing.
[13] E. Candès,et al. Stable signal recovery from incomplete and inaccurate measurements , 2005, math/0503066.
[14] Stephen P. Boyd,et al. Convex Optimization , 2004, Algorithms and Theory of Computation Handbook.
[15] M. Yuan,et al. Model selection and estimation in regression with grouped variables , 2006 .
[16] Hairong Qi,et al. A Maximum Entropy Approach to Unsupervised Mixed-Pixel Decomposition , 2007, IEEE Transactions on Image Processing.
[17] I. Daubechies,et al. Iteratively reweighted least squares minimization for sparse recovery , 2008, 0807.0575.
[18] Michael Elad,et al. From Sparse Solutions of Systems of Equations to Sparse Modeling of Signals and Images , 2009, SIAM Rev..
[19] Jean-Yves Tourneret,et al. Bayesian Estimation of Linear Mixtures Using the Normal Compositional Model. Application to Hyperspectral Imagery , 2010, IEEE Transactions on Image Processing.
[20] Alfred O. Hero,et al. Multidimensional Shrinkage-Thresholding Operator and Group LASSO Penalties , 2011, IEEE Signal Processing Letters.
[21] Patrick L. Combettes,et al. Proximal Splitting Methods in Signal Processing , 2009, Fixed-Point Algorithms for Inverse Problems in Science and Engineering.
[22] Stephen P. Boyd,et al. Distributed Optimization and Statistical Learning via the Alternating Direction Method of Multipliers , 2011, Found. Trends Mach. Learn..
[23] Shengli Xie,et al. Blind Spectral Unmixing Based on Sparse Nonnegative Matrix Factorization , 2011, IEEE Transactions on Image Processing.
[24] Michael Möller,et al. A Convex Model for Nonnegative Matrix Factorization and Dimensionality Reduction on Physical Space , 2011, IEEE Transactions on Image Processing.
[25] Alfonso Fernández-Manso,et al. Spectral unmixing , 2012 .
[26] Paul Honeine,et al. Geometric Unmixing of Large Hyperspectral Images: A Barycentric Coordinate Approach , 2012, IEEE Transactions on Geoscience and Remote Sensing.
[27] Marian-Daniel Iordache,et al. Greedy algorithms for pure pixels identification in hyperspectral unmixing: A multiple-measurement vector viewpoint , 2013, 21st European Signal Processing Conference (EUSIPCO 2013).
[28] Jean-Yves Tourneret,et al. Nonlinear Spectral Unmixing of Hyperspectral Images Using Gaussian Processes , 2012, IEEE Transactions on Signal Processing.
[29] Ferréol Soulez,et al. Exploiting spatial sparsity for multi-wavelength imaging in optical interferometry , 2012, Journal of the Optical Society of America. A, Optics, image science, and vision.
[30] Antonio J. Plaza,et al. MUSIC-CSR: Hyperspectral Unmixing via Multiple Signal Classification and Collaborative Sparse Regression , 2014, IEEE Transactions on Geoscience and Remote Sensing.
[31] Antonio J. Plaza,et al. Collaborative Sparse Regression for Hyperspectral Unmixing , 2014, IEEE Transactions on Geoscience and Remote Sensing.
[32] Ben Somers,et al. A multi-measurement vector approach for endmember extraction in urban environments , 2014 .