Bayesian Networks in the Classification of Multispectral and Hyperspectral Remote Sensing Images
نویسندگان
چکیده
In this paper we study the application of bayesian network models to classify multispectral and hyperspectral 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 hyperspectral 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. Key–Words: Bayesian networks, Bayesian network classifiers, Multispectral image classification, Hyperspectral image classification, Bayesian multi-nets classifiers.
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Different Bayesian Network Models in the Classification of Remote Sensing Images
In this paper we study the application of Bayesian network models to classify multispectral and hyperspectral remote sensing images. Different models of Bayesian networks as: Naive Bayes (NB), Tree Augmented Naive Bayes (TAN) and General Bayesian Networks (GBN), are applied to the classification of hyperspectral data. In addition, several Bayesian multi-net models: TAN multi-net, GBN multi-net ...
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