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      • Faculty of Engineering
      • Department of Electrical and Electronics Engineering
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      Comparative analysis of different approaches to target classification and localization with sonar

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      Author
      Ayrulu, B.
      Barshan, B.
      Date
      2001
      Journal Title
      IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems
      Pages
      25 - 30
      Language
      English
      Type
      Conference Paper
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      Please cite this item using this persistent URL
      http://hdl.handle.net/11693/27592
      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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      • Department of Electrical and Electronics Engineering 2964

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