Comparison of different classification algorithms for underwater target discrimination
| dc.contributor.author | Robinson, Marc, author | |
| dc.contributor.author | Azimi-Sadjadi, Mahmood R., author | |
| dc.contributor.author | Li, Donghui, author | |
| dc.contributor.author | IEEE, publisher | |
| dc.date.accessioned | 2007-01-03T04:48:54Z | |
| dc.date.available | 2007-01-03T04:48:54Z | |
| dc.date.issued | 2004 | |
| dc.description.abstract | Classification of underwater targets from the acoustic backscattered signals is considered here. Several different classification algorithms are tested and benchmarked not only for their performance but also to gain insight to the properties of the feature space. Results on a wideband 80-kHz acoustic backscattered data set collected for six different objects are presented in terms of the receiver operating characteristic (ROC) and robustness of the classifiers wrt reverberation. | |
| dc.description.sponsorship | This work was supported by the Office of Naval Research, Biosonar Program, under Grant N00014-99-1-0166 and Grant N00014-01-1-0307. Data and technical support were provided by the NSWC, Coastal Systems Station, Panama City, FL. | |
| dc.format.medium | born digital | |
| dc.format.medium | articles | |
| dc.identifier.bibliographicCitation | Li, Donghui, Mahmood R. Azimi-Sadjadi, and Marc Robinson, Comparison of Different Classification Algorithms for Underwater Target Discrimination, IEEE Transactions on Neural Networks 15, no. 1 (January 2004): 189-194. | |
| dc.identifier.uri | http://hdl.handle.net/10217/930 | |
| 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 | probabilistic neural networks (PNNs) | |
| dc.subject | neural networks | |
| dc.subject | K-nearest neighbor (K-NN) classifier | |
| dc.subject | support vector machines (SVMs) | |
| dc.subject | underwater target classification | |
| dc.title | Comparison of different classification algorithms for underwater target discrimination | |
| dc.type | Text |
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