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http://dx.doi.org/10.9717/kmms.2017.20.10.1637

Active Sonar Target/Nontarget Classification Using Real Sea-trial Data  

Seok, J.W. (Dept. of Information & Communication, Changwon National University)
Publication Information
Journal of Korea Multimedia Society / v.20, no.10, 2017 , pp. 1637-1645 More about this Journal
Abstract
Target/Nontarget classification can be divided into the study of shape estimation of the target analysing reflected echo signal and of type classification of the target using acoustical features. In active sonar system, the feature vectors are extracted from the signal reflected from the target, and an classification algorithm is applied to determine whether the received signal is a target or not. However, received sonar signals can be distorted in the underwater environments, and the spatio-temporal characteristics of active sonar signals change according to the aspect of the target. In addition, it is very difficult to collect real sea-trial data for research. In this paper, target/non-target classification were performed using real sea-trial data. Feature vectors are extracted using MFCC(Mel-Frequency Cepstral Coefficients), filterbank energy in the Fourier spectrum and wavelet domain. For the performance verification, classification experiments were performed using backpropagation neural network classifiers.
Keywords
Active Sonar; Target; Non-target; Classification; Sea-trial Data;
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Times Cited By KSCI : 1  (Citation Analysis)
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