Supplementary material for Unmixing of Hyperspectral Images using Bayesian Nonnegative Matrix Factorization with Volume Prior

Morten Arngren, Mikkel N. Schmidt, Jan Larsen

AbstractThis technical report is a supplement to the paper: Unmixing of Hyperspectral Images using Bayesian Nonnegative Matrix Factorization with Volume Prior. It includes several detailed derivations and supplementary material.
KeywordsBayesian source separation, Hyperspectral image analysis, Volume regularization, Gibbs sampling
TypeTechnical report
Year2010    Month January
PublisherDepartment of Informatics and Mathematical Modelling
AddressRichard Petersens Plads, Building 321, 2800 Kongens Lyngby, Denmark
NoteThis report is supplementary to the paper http://www.imm.dtu.dk/pubdb/p.php?5835
Electronic version(s)[pdf]
BibTeX data [bibtex]
IMM Group(s)Intelligent Signal Processing


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