Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Multiband Segmentation of a Spectroscopic Line Data Cube: Application to the HI Data Cube of the Spiral | EURASIP Journal on Applied Signal Processing 2005 15 2546-2558 2005 Hindawi Publishing Corporation Multiband Segmentation of a Spectroscopic Line Data Cube Application to the HI Data Cube of the Spiral Galaxy NGC 4254 Farid Flitti Laboratoire des Sciences de l Image de rinformatique etde la Teledetection LSIIT UMR 7005 Universite Louis Pasteur Strasbourg 1 Boulevard Sébastien Brant 10413 67412 Illkirch Cedex France Email flitti@ Christophe Collet Laboratoire des Sciences de l Image de l Informatique etde la Teledetection LSIIT UMR 7005 Universite Louis Pasteur Strasbourg 1 Boulevard Sebastien Brant 10413 67412 Illkirch Cedex France Email collet@ Bernd Vollmer Centre de Donnees Astronomiques de Strasbourg CDS UMR 7550 Observatoire Astronomique de Strasbourg 11 rue del Universite 67000 Strasbourg France Email bvollmer@ Francois Bonnarel Centre de Donnees Astronomiques de Strasbourg CDS UMR 7550 Observatoire Astronomique de Strasbourg 11 rue del Universite 67000 Strasbourg France Email bonnarel@ Received 28 May 2004 Revised 26 February 2005 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 and phrases spectroscopic data cube .
