Data modeling of deep-sky images
Handley, James, Jaenisch, Holger, Lim, Albert, White, Graeme, Hons, Alex, Filipovic, Miroslav, and Edwards, Matthew (2004) Data modeling of deep-sky images. In: Proceedings of SPIE: Modeling and Systems Engineering for Astronomy (5497), pp. 449-460. From: SPIE Modeling and Systems Engineering for Astronomy , 24-25 June 2004, Glasgow, Scotland, UK.
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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.
|Item Type:||Conference Item (Refereed Research Paper - E1)|
|Date Deposited:||11 Nov 2009 05:35|
|FoR Codes:||02 PHYSICAL SCIENCES > 0201 Astronomical and Space Sciences > 020102 Astronomical and Space Instrumentation @ 100%|
|Citation Count from Web of Science||