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16th International Conference on Pattern Recognition (ICPR'02) - Volume 2
Probabilistic Model-Based Detection of Bent-Double Radio Galaxies
Quebec City, QC, Canada
August 11-August 15
ISBN: 0-7695-1695-X
Sergey Kirshner, University of California at Irvine
Igor V. Cadez, University of California at Irvine
Padhraic Smyth, University of California at Irvine
Chandrika Kamath, Lawrence Livermore National Laboratory
Erick Cantú-Paz, Lawrence Livermore National Laboratory
We describe an application of probabilistic modeling to the problem of recognizing radio galaxies with a bent-double morphology. The type of galaxies in question contain distinctive signatures of geometric shape and flux density that can be used to be build a probabilistic model that is then used to score potential galaxy configurations. The experimental results suggest that even relatively simple probabilistic models can be useful in identifying galaxies of interest in an automatic manner.
Citation:
Sergey Kirshner, Igor V. Cadez, Padhraic Smyth, Chandrika Kamath, Erick Cantú-Paz, "Probabilistic Model-Based Detection of Bent-Double Radio Galaxies," icpr, vol. 2, pp.20499, 16th International Conference on Pattern Recognition (ICPR'02) - Volume 2, 2002
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