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Authors: Jorge de la Calleja 1 and Olac Fuentes 2

Affiliations: 1 Instituto Nacional de Astrofísica, Óptica y Electrónica, Mexico ; 2 University of Texas at El Paso, United States

Keyword(s): Image Analysis, Machine Learning, Imbalanced Datasets.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Biomedical Engineering ; Biomedical Signal Processing ; Data Manipulation ; Health Engineering and Technology Applications ; Human-Computer Interaction ; Methodologies and Methods ; Neurocomputing ; Neurotechnology, Electronics and Informatics ; Pattern Recognition ; Physiological Computing Systems ; Sensor Networks ; Soft Computing

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 several formats:
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 (VISIGRAPP 2007) - Volume 2: VISAPP; ISBN 978-972-8865-74-0; ISSN 2184-4321, SciTePress, pages 155-160. DOI: 10.5220/0002057201550160

@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 (VISIGRAPP 2007) - Volume 2: VISAPP},
year={2007},
pages={155-160},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002057201550160},
isbn={978-972-8865-74-0},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the Second International Conference on Computer Vision Theory and Applications (VISIGRAPP 2007) - Volume 2: VISAPP
TI - AUTOMATED STAR/GALAXY DISCRIMINATION IN MULTISPECTRAL WIDE-FIELD IMAGES
SN - 978-972-8865-74-0
IS - 2184-4321
AU - de la Calleja, J.
AU - Fuentes, O.
PY - 2007
SP - 155
EP - 160
DO - 10.5220/0002057201550160
PB - SciTePress