Sparse nonnegative matrix underapproximation and its application to hyperspectral image analysis

DOI10.1016/j.laa.2012.04.033zbMath1281.65032OpenAlexW2038304857MaRDI QIDQ389667

Nicolas Gillis, Robert J. Plemmons

Publication date: 21 January 2014

Published in: Linear Algebra and its Applications (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.laa.2012.04.033

zbMATH Keywords

classificationprincipal component analysisdimensionality reductionsparsitynonnegative matrix factorizationhyperspectral imagesspectral mixture analysisunderapproximation

Mathematics Subject Classification ID

Factor analysis and principal components; correspondence analysis (62H25) Factorization of matrices (15A23) Image analysis in multivariate analysis (62H35) Numerical aspects of computer graphics, image analysis, and computational geometry (65D18) Positive matrices and their generalizations; cones of matrices (15B48) Direct numerical methods for linear systems and matrix inversion (65F05)

Related Items (5)

Sparse nonnegative matrix underapproximation and its application to hyperspectral image analysis ⋮ Smoothed separable nonnegative matrix factorization ⋮ An efficient method for non-negative low-rank completion ⋮ Estimation of atmospheric PSF parameters for hyperspectral imaging ⋮ Separation of Stellar Spectra Based on Non-negativity and Parametric Modelling of Mixing Operator

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