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Proceedings Paper

Data modeling of deep-sky images
Author(s): James Handley; Holger Jaenisch; Albert Lim; Graeme White; Alex Hons; Miroslav Filipovic; Matthew Edwards
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Paper Abstract

We present a method for simulating CCD focal plane array (FPA) images of extended deep sky objects using Data Modeling. Data Modeling is a process of deriving functional equations from measured data. These tools are used to model FPA fixed pattern noise, shot noise, non-uniformity, and the extended objects themselves. The mathematical model of the extended object is useful for correlation analysis and other image understanding algorithms used in Virtual Observatory Data Mining. We apply these tools to the objects in the Messier list and build a classifier that achieves 100% correct classification.

Paper Details

Date Published: 16 September 2004
PDF: 12 pages
Proc. SPIE 5497, Modeling and Systems Engineering for Astronomy, (16 September 2004); doi: 10.1117/12.548791
Show Author Affiliations
James Handley, James Cook Univ. (Australia)
Holger Jaenisch, James Cook Univ. (Australia)
Alabama A&M Univ. (United States)
Albert Lim, James Cook Univ. (Australia)
Graeme White, James Cook Univ. (Australia)
Alex Hons, James Cook Univ. (Australia)
Miroslav Filipovic, Univ. of Western Sydney (Australia)
James Cook Univ. (Australia)
Matthew Edwards, Alabama A&M Univ. (United States)

Published in SPIE Proceedings Vol. 5497:
Modeling and Systems Engineering for Astronomy
Simon C. Craig; Martin J. Cullum, Editor(s)

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