Underwater target classification in changing environments using an adaptive feature mapping

A new adaptive underwater target classification system to cope with environmental changes in acoustic backscattered data from targets and nontargets is introduced. The core of the system is the adaptive feature mapping that minimizes the classification error rate of the classifier. The goal is to ma...

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Veröffentlicht in:IEEE transaction on neural networks and learning systems 2002-09, Vol.13 (5), p.1099-1111
Hauptverfasser: Azimi-Sadjadi, M.R., Yao, D., Jamshidi, A.A., Dobeck, G.J.
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Sprache:eng
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