An automated approach to passive sonar classification using binary image features |
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Authors: | Vahid?Vahidpour Email author" target="_blank">Amir?RastegarniaEmail author Azam?Khalili |
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Institution: | 1.Department of Electrical Engineering,Malayer University,Malayer,Iran |
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Abstract: | This paper proposes a new method for ship recognition and classification using sound produced and radiated underwater. To do so, a three-step procedure is proposed. First, the preprocessing operations are utilized to reduce noise effects and provide signal for feature extraction. Second, a binary image, made from frequency spectrum of signal segmentation, is formed to extract effective features. Third, a neural classifier is designed to classify the signals. Two approaches, the proposed method and the fractal-based method are compared and tested on real data. The comparative results indicated better recognition ability and more robust performance of the proposed method than the fractal-based method. Therefore, the proposed method could improve the recognition accuracy of underwater acoustic targets. |
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