Bayesian Networks in the Classification of Multispectral and Hyperspectral Remote Sensing Images

In this paper we study the application of bayesian network models to classify multispectral and hyper- spectral remote sensing images. Different models of bayesian networks as: Naive Bayes, Tree Augmented Naive Bayes, Forest Augmented Naive Bayes and General Bayesian Networks, are applied in the classification of hyper- spectral data. In addition, several bayesian multi-net models are applied in the classification of multispectral data. A comparison of the results obtained with the different classifiers is done.

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