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Knowledge based classification of galaxies

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Knowledge-Based Systems in Astronomy

Part of the book series: Lecture Notes in Physics ((LNP,volume 329))

Abstract

We have seen that the classification of galaxies is a very complex task but that it is not impossible to automate it. This can be useful both to objectively process large sets of data and to centralize and structure different kinds of expertise (in image processing, observation and classification); this last point becomes crucial with the multiplication of sensors used and the consequent difficulty of performing multisensor analysis.

The development of instrumentation (an ever increasing number of galaxies are studied with CCDs) will give us much new information. Knowledge of the morphology of these objects will greatly increase. This will surely lead us to refine prevalent classification schemes.

The method described in this chapter can easily be extended to the study of objects other than galaxies; for instance to the study of clusters.

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Author information

Authors and Affiliations

  1. INRIA Sophia Antipolis 2004, route des Lucioles, F-06565, Valbonne, France

    Monique Thonnat

  2. OCA Observatoire de Nice Le Mont Gros, Boite Postale 139, F-06003, Nice Cedex, France

    Albert Bijaoui

Authors
  1. Monique Thonnat
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  2. Albert Bijaoui
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A. Heck F. Murtagh

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© 1989 Springer-Verlag

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Thonnat, M., Bijaoui, A. (1989). Knowledge based classification of galaxies. In: Heck, A., Murtagh, F. (eds) Knowledge-Based Systems in Astronomy. Lecture Notes in Physics, vol 329. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-51044-3_21

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  • DOI: https://doi.org/10.1007/3-540-51044-3_21

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  • Print ISBN: 978-3-540-51044-4

  • Online ISBN: 978-3-540-46139-5

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