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

Supplementary material for Unmixing of Hyperspectral Images using Bayesian Nonnegative Matrix Factorization with Volume Prior
Morten Arngren, Mikkel N. Schmidt, Jan Larsen
Abstract	This 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.
Keywords	Bayesian source separation, Hyperspectral image analysis, Volume regularization, Gibbs sampling
Type	Technical report
Year	2010 Month January
Publisher	Department of Informatics and Mathematical Modelling
Address	Richard Petersens Plads, Building 321, 2800 Kongens Lyngby, Denmark
Note	This 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