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Temporal updating scheme for probabilistic neural network with application to satellite cloud classification

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dc.contributor.authorReinke, Donald L., author
dc.contributor.authorVonder Haar, Thomas H., author
dc.contributor.authorAzimi-Sadjadi, Mahmood R., author
dc.contributor.authorTian, Bin, author
dc.contributor.authorIEEE, publisher
dc.date.accessioned2007-01-03T04:48:23Z
dc.date.available2007-01-03T04:48:23Z
dc.date.issued2000
dc.description.abstractIn cloud classification from satellite imagery, temporal change in the images is one of the main factors that causes degradation in the classifier performance. In this paper, a novel temporal updating approach is developed for probabilistic neural network (PNN) classifiers that can be used to track temporal changes in a sequence of images. This is done by utilizing the temporal contextual information and adjusting the PNN to adapt to such changes. Whenever a new set of images arrives, an initial classification is first performed using the PNN updated up to the last frame while at the same time, a prediction using Markov chain models is also made based on the classification results of the previous frame. The results of both the old PNN and the predictor are then compared. Depending on the outcome, either a supervised or an unsupervised updating scheme is used to update the PNN classifier. Maximum likelihood (ML) criterion is adopted in both the training and updating schemes. The proposed scheme is examined on both a simulated data set and the Geostationary Operational Environmental Satellite (GOES) 8 satellite cloud imagery data. These results indicate the improvements in the classification accuracy when the proposed scheme is used.
dc.description.sponsorshipThis work was supported by the Department of Defense under the Contract DAAH04 94 G0420.
dc.format.mediumborn digital
dc.format.mediumarticles
dc.identifier.bibliographicCitationTian, Bin, et al., Temporal Updating Scheme for Probabilistic Neural Network with Application to Satellite Cloud Classification, IEEE Transactions on Neural Networks 11, no. 4 (July 2000): 903-920.
dc.identifier.urihttp://hdl.handle.net/10217/925
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.subjectmaximum likelihood
dc.subjectMarkov chain models
dc.subjectcloud classification
dc.subjectprobabilistic neural networks
dc.subjecttemporal updating
dc.titleTemporal updating scheme for probabilistic neural network with application to satellite cloud classification
dc.typeText

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