Comparative analysis of different approaches to target classification and localization with sonar
IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems
Please cite this item using this persistent URLhttp://hdl.handle.net/11693/27592
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.
- Conference Paper