Abstract
The topics dealt with in this paper are as follows. Firstly, to set the scene, we briefly overview the major astronomical image processing systems, and make reference to current software engineering problems in this area. Secondly, we survey a range of pattern recognition problems, which all have classification as their central objective. These pattern recognition problems are: object searching and classification in photometry; the classifying of galaxies on the basis of their morphological shapes; and the classification of stellar spectra. Finally, we review some of the specific problems expected for Hubble Space Telescope image data.
Keywords
- Hubble Space Telescope
- Image Processing System
- Pattern Recognition Problem
- Virgo Cluster
- Stellar Spectrum
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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© 1988 Plenum Press, New York
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Murtagh, F. (1988). Image Analysis Problems in Astronomy. In: Cantoni, V., Di Gesù, V., Levialdi, S. (eds) Image Analysis and Processing II. Springer, Boston, MA. https://doi.org/10.1007/978-1-4613-1007-5_7
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DOI: https://doi.org/10.1007/978-1-4613-1007-5_7
Publisher Name: Springer, Boston, MA
Print ISBN: 978-1-4612-8289-1
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