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Neural network directed Bayes decision rule for moving target classification

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dc.contributor.authorYu, Xi, author
dc.contributor.authorAzimi-Sadjadi, Mahmood R., author
dc.contributor.authorIEEE, publisher
dc.date.accessioned2007-01-03T04:43:06Z
dc.date.available2007-01-03T04:43:06Z
dc.date.issued2000
dc.description.abstractIn this paper, a new neural network directed Bayes decision rule is developed for target classification exploiting the dynamic behavior of the target. The system consists of a feature extractor, a neural network directed conditional probability generator and a novel sequential Bayes classifier. The velocity and curvature sequences extracted from each track are used as the primary features. Similar to hidden Markov model (HMM) scheme, several hidden states are used to train the neural network, the output of which is the conditional probability of occurring the hidden states given the observations. These conditional probabilities are then used as the inputs to the sequential Bayes classifier to make the classification. The classification results are updated recursively whenever a new scan of data is received. Simulation results on multiscan images containing heavy clutter are presented to demonstrate the effectiveness of the proposed methods.
dc.description.sponsorshipThis work was funded by the Optoelectronic Computing Systems (OCS) Center at Colorado State University, under NSF/REC Grant 9485502.
dc.format.mediumborn digital
dc.format.mediumarticles
dc.identifier.bibliographicCitationYu, Xi and Mahmood R. Azimi-Sadjadi, Neural Network Directed Bayes Decision RuIe for Moving Target Classification, IEEE Transactions on Aerospace and Electronic Systems 36, no. 1 (January 2000): 176-188.
dc.identifier.urihttp://hdl.handle.net/10217/842
dc.languageEnglish
dc.language.isoeng
dc.publisherColorado State University. Libraries
dc.relation.ispartofFaculty Publications
dc.rights©2000 IEEE.
dc.rightsCopyright and other restrictions may apply. User is responsible for compliance with all applicable laws. For information about copyright law, please see https://libguides.colostate.edu/copyright.
dc.subjectBayes methods
dc.subjectbackpropagation
dc.subjectcorrelation methods
dc.subjectfeature extraction
dc.subjectimage classification
dc.subjectleast mean squares methods
dc.subjectneural nets
dc.subjectobject recognition
dc.subjectprobability
dc.subjectradar clutter
dc.subjectradar imaging
dc.subjectradar target recognition
dc.subjectsensor fusion
dc.titleNeural network directed Bayes decision rule for moving target classification
dc.typeText

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