Bayesian network classifiers. an application to remote sensing image classification

Authors:
Cristina Solares;Ana María Sanz
Affiliations:
Department of Applied Mathematics, University of Castilla-La Mancha, Ciudad Real, Spain;Department of Geological and Mining Engineering, University of Castilla-La Mancha, Ciudad Real, Spain
Venue:
NN'05 Proceedings of the 6th WSEAS international conference on Neural networks
Year:
2005

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Abstract

Different probabilistic models for classification and prediction problems are anlyzed in this article studying their behaviour and capability in data classification. To show the capability of Bayesian Networks to deal with classification problems four types of Bayesian Networks are introduced, a General Bayesian Network, the Naive Bayes, a Bayesian Network Augmented Naive Bayes and the Tree Augmented Naive Bayes. Finally, the novel application of bayesian networks in classification of spectral remote sensing images is shown.