A temporally adaptive classifier for multispectral imagery
| dc.contributor.author | Reinke, Donald L., author | |
| dc.contributor.author | Azimi-Sadjadi, Mahmood R., author | |
| dc.contributor.author | Wang, Jianqi, author | |
| dc.contributor.author | IEEE, publisher | |
| dc.date.accessioned | 2007-01-03T04:48:23Z | |
| dc.date.available | 2007-01-03T04:48:23Z | |
| dc.date.issued | 2004 | |
| dc.description.abstract | This paper presents a new temporally adaptive classification system for multispectral images. A spatial-temporal adaptation mechanism is devised to account for the changes in the feature space as a result of environmental variations. Classification based upon spatial features is performed using Bayesian framework or probabilistic neural networks (PNNs) while the temporal updating takes place using a spatial-temporal predictor. A simple iterative updating mechanism is also introduced for adjusting the parameters of these systems. The proposed methodology is used to develop a pixel-based cloud classification system. Experimental results on cloud classification from satellite imagery are provided to show the usefulness of this system. | |
| dc.description.sponsorship | This work was supported by the DoD Center for Geoscience Atmospheric Research at Colorado State University under the Cooperative Agreement (#DAAL01-98-2-0078) with the Army Research Laboratory. | |
| dc.format.medium | born digital | |
| dc.format.medium | articles | |
| dc.identifier.bibliographicCitation | Wang, Jianqi, Mahmood R. Azimi-Sadjadi, and Donald Reinke, A Temporally Adaptive Classifier for Multispectral Imagery, IEEE Transactions on Neural Networks 15, no.1 (January 2004): 159-165. | |
| dc.identifier.uri | http://hdl.handle.net/10217/929 | |
| dc.language | English | |
| dc.language.iso | eng | |
| dc.publisher | Colorado State University. Libraries | |
| dc.relation.ispartof | Faculty Publications | |
| dc.rights | ©2004 IEEE. | |
| dc.rights | Copyright 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.subject | prediction | |
| dc.subject | multispectral imaging | |
| dc.subject | cloud classification | |
| dc.subject | Bayes classification | |
| dc.title | A temporally adaptive classifier for multispectral imagery | |
| dc.type | Text |
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