Issue |
EAS Publications Series
Volume 59, 2013
New Concepts in Imaging: Optical and Statistical Models
|
|
---|---|---|
Page(s) | 357 - 379 | |
Section | Statistical Models in Signal and Image Processing | |
DOI | https://doi.org/10.1051/eas/1359016 | |
Published online | 13 March 2013 |
New Concepts in Imaging: Optical and Statistical
Models
D. Mary, C. Theys and C. Aime (eds)
EAS Publications Series, 59 (2013) 357-379
D. Mary, C. Theys and C. Aime (eds)
EAS Publications Series, 59 (2013) 357-379
SGM to solve NMF – Application to Hyperspectral Data
Laboratoire Lagrange, Université de Nice Sophia-Antipolis,
Observatoire de la Côte d’Azur, CNRS, Nice, France
This article deals with the problem of minimization of a general cost function under non-negativity and flux conservation constraints. The proposed algorithm is founded on the Split Gradient Method (SGM) adapted here to solve the Non Negative Matrix Factorization (NMF). We show that SGM can be easily regularized, allowing to introduce some physical constraints. Finally, to validate the algorithm, we propose an example of application to hyperspectral data unmixing.
© EAS, EDP Sciences 2013