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Open Access

Multiband Segmentation of a Spectroscopic Line Data Cube: Application to the HI Data Cube of the Spiral Galaxy NGC 4254

  • Farid Flitti1Email author,
  • Christophe Collet1,
  • Bernd Vollmer2 and
  • François Bonnarel2
EURASIP Journal on Advances in Signal Processing20052005:921039

https://doi.org/10.1155/ASP.2005.2546

Received: 28 May 2004

Published: 14 September 2005

Abstract

A new method for the multiband segmentation of a spectroscopic line data cube is presented. This method is intended to help astronomers to handle complex spectroscopic line data cubes where the inspection of the channel and moment maps is difficult. Due to the Hughes phenomenon, the number of input images for the segmentation process is limited. Therefore, the spectrum of each pixel is fitted with a mixture of 6 Gaussians with fixed mean values and variances. The maps of the Gaussian weights are the input for a Markovian segmentation algorithm. The final segmentation map contains classes of pixels with similar spectral line profiles. The application of our method to the HI data cube of the Virgo spiral galaxy NGC 4254 shows that kinematically interesting regions can be detected and masked by our method.

Keywords

spectroscopic data cube reductionGaussian mixture modelhierarchical hidden Markov modelmulticomponent imageBayesian segmentationHI 21 cm line spiral galaxy NGC 4254

Authors’ Affiliations

(1)
Laboratoire des Sciences de l'Image, de l'Informatique et de la Télédétection (LSIIT) UMR 7005, Université Louis Pasteur (Strasbourg 1), Illkirch, Cedex, France
(2)
Centre de Données Astronomiques de Strasbourg (CDS), UMR 7550, Observatoire Astronomique de Strasbourg, Strasbourg, France

Copyright

© Flitti et al. 2005

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