Data modeling of deep-sky images

Details Data modeling of deep-sky images Data modeling of deep-sky images

Sep 2004

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2004spie.5497..449h&link_type=abstract

Modeling and Systems Engineering for Astronomy. Edited by Craig, Simon C.; Cullum, Martin J. Proceedings of the SPIE, Volume 549

Astronomy and Astrophysics

Astronomy

Scientific paper

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.

Affiliated with

Also associated with

No associations

Rating

Data modeling of deep-sky images does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with Data modeling of deep-sky images, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Data modeling of deep-sky images will most certainly appreciate the feedback.

Rate now

Comments { 0 }

Profile ID: LFWR-SCP-O-1822870