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. Proceedings of SPIE: Modeling and Systems Engineering for Astronomy . SPIE Modeling and Systems Engineering for Astronomy , 24-25 June 2004, Glasgow, Scotland, UK , pp. 449-460.
|PDF (Published Version) - Repository staff only - Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader|
View at Publisher Website: http://dx.doi.org/10.1117/12.548791
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)|
|FoR Codes:||02 PHYSICAL SCIENCES > 0201 Astronomical and Space Sciences > 020102 Astronomical and Space Instrumentation @ 100%|
|Deposited On:||11 Nov 2009 15:35|
|Last Modified:||21 May 2013 00:32|
Last 12 Months: 0
|Citation Counts with External Providers:||Web of Science: 0|
Repository Staff Only: item control page