BibSonomy
CiteUlike
Connotea
Del.icio.us
Digg
Facebook
Astron. Astrophys. Suppl. Ser. 147, 129-138
Blind source separation and analysis of multispectral astronomical images
D. Nuzillard1 - A. Bijaoui2
Send offprint request: D. Nuzillard
1 -
Laboratoire d'Automatique et de Microélectronique,
Université de Reims Champagne-Ardenne, Moulin de la Housse,
BP. 1039, F-51687 Reims Cedex 2, France
e-mail: Danielle.Nuzillard@univ-reims.fr
2 -
Dpt. CERGA, UMR CNRS 6527, Observatoire de la Côte d'Azur, BP. 4229, F-06304 Nice Cedex 4, France
e-mail: Bijaoui@obs-nice.fr
Received May 26; accepted August 31, 2000
Abstract:
Celestial sources are studied by means of multispectral analysis,
for which a pixel value can be considered as a mixture of
different sources. We show that the application of blind source
separation methods can display interesting features, which can
help astronomers to improve their description of celestial
sources. Experiments were carried out on Hubble Space Telescope
images of the galaxy 3C 120. Different separation methods were
applied, either based on the source correlation, or on
non-Gaussian probability density functions. Each obtained source
set was quantified by the mutual information between the sources.
Different algorithms give quite similar decompositions which
mainly correspond to real phenomena.
Copyright The European Southern Observatory (ESO)
Key words: methods: data analysis -- methods: statistical -- techniques: image processing -- galaxies: 3C 120