Separation of Stellar Spectra Based on Non-negativity and Parametric Modelling of Mixing Operator

DOI10.1007/978-3-662-48331-2_6zbMath1339.85003OpenAlexW2270060227MaRDI QIDQ2807183

Shahram Hosseini, Inès Meganem, Yannick Deville

Publication date: 19 May 2016

Published in: Signals and Communication Technology (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/978-3-662-48331-2_6

zbMATH Keywords

NMFPSFparametric modellingpoint spread functionnon-negative matrix factorizationhyperspectral imagesstellar spectramixing operatormulti-unit spectroscopic explorerMUSE

Mathematics Subject Classification ID

Applications of statistics to physics (62P35) Galactic and stellar structure (85A15) Computational methods for problems pertaining to astronomy and astrophysics (85-08) Statistical astronomy (85A35)

Uses Software

• FastICA

Cites Work

• Sparse nonnegative matrix underapproximation and its application to hyperspectral image analysis
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• Separation of Non-Negative Mixture of Non-Negative Sources Using a Bayesian Approach and MCMC Sampling
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• Projected Gradient Methods for Nonnegative Matrix Factorization

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