Technology Application |
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A STUDY OF THE RESTRICTED BAYESIAN NETWORK IN THE
INTERPRETATION OF REMOTE SENSING IMAGES |
TAO Jian-Bin, SHU Ning |
School of Remote Sensing and Information Engineering, Wuhan University,Wuhan 430079,China |
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Abstract The Bayesian network is in fact the Markov blanket of the class node in the classification theme. This
paper deals with a Bayesian network with constraint, in which all feature nodes must be child nodes of class node,
the child nodes can have different relationships with each other, and then some generally-used models of restricted
Bayesian network, namely NB, TAN and BAN, are used to interpret remote sensing images. From the evaluation of the
likelihood function of structures, we can obtain net structure and get the classifier synthesizing the topology and
probability statistical information of feature nodes and the class node. The authors applied these models to the
classification of remote sensing images and discussed their performance.
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Issue Date: 12 June 2009
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