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

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Author
Ayrulu, B.
Barshan, B.
Date
2001Journal Title
IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems
Pages
25 - 30
Language
English
Type
Conference Paper
Metadata
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http://hdl.handle.net/11693/27592Abstract
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.