AUTOMATED STAR/GALAXY DISCRIMINATION IN MULTISPECTRAL WIDE-FIELD IMAGES

Jorge de la Calleja, Olac Fuentes

Abstract

In this paper we present an automated method for classifying astronomical objects in multi-spectral widefield images. The classification method is divided into three main stages. The first one consists of locating and matching the astronomical objects in the multi-spectral images. In the second stage we create a compact representation of each object applying principal component analysis to the images. In the last stage we classify the astronomical objects using locally weighted linear regression and a novel oversampling algorithm to deal with the unbalance that is inherent to this class of problems. Our experimental results show that our method performs accurate classification using small training sets and in the presence of significant class unbalance.

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Paper Citation


in Harvard Style

de la Calleja J. and Fuentes O. (2007). AUTOMATED STAR/GALAXY DISCRIMINATION IN MULTISPECTRAL WIDE-FIELD IMAGES . In Proceedings of the Second International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, ISBN 978-972-8865-74-0, pages 155-160. DOI: 10.5220/0002057201550160


in Bibtex Style

@conference{visapp07,
author={Jorge de la Calleja and Olac Fuentes},
title={AUTOMATED STAR/GALAXY DISCRIMINATION IN MULTISPECTRAL WIDE-FIELD IMAGES},
booktitle={Proceedings of the Second International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP,},
year={2007},
pages={155-160},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002057201550160},
isbn={978-972-8865-74-0},
}


in EndNote Style

TY - CONF
JO - Proceedings of the Second International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP,
TI - AUTOMATED STAR/GALAXY DISCRIMINATION IN MULTISPECTRAL WIDE-FIELD IMAGES
SN - 978-972-8865-74-0
AU - de la Calleja J.
AU - Fuentes O.
PY - 2007
SP - 155
EP - 160
DO - 10.5220/0002057201550160