Bayesian Network Classifiers. An Application to Remote Sensing Image Classification

نویسندگان

  • CRISTINA SOLARES
  • ANA MARÍA SANZ
چکیده

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. Key-Words:Classification, Bayesian Networks, Bayesian Network Classifiers, Naive-Bayes, Remote Sensing Image Classification, Prediction, Evidence Propagation.

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تاریخ انتشار 2005