Comparative analysis of different approaches to target classification and localization with sonar

Date
2001-08
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Source Title
Conference Documentation International Conference on Multisensor Fusion and Integration for Intelligent Systems. MFI 2001
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Publisher
IEEE
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Pages
25 - 30
Language
English
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Abstract

The comparison of different classification and fusion techniques was done for target classification and localization with sonar. Target localization performance of artificial neural networks (ANN) was found to be better than the target differentiation algorithm (TDA) and fusion techniques. The target classification performance of non-parametric approaches was better than that of parameterized density estimator (PDE) using homoscedastic and heteroscedastic NM for statistical pattern recognition techniques.

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Published Version (Please cite this version)