Please use this identifier to cite or link to this item: http://hdl.handle.net/2122/5349
Authors: Leoncini, D.* 
Decherchi, S.* 
Faggioni, O.* 
Gastaldo, P.* 
Soldani, M.* 
Zunino, R.* 
Title: A Preliminary Study on SVM based Analysis of Underwater Magnetic Signals for Port Protection
Issue Date: Sep-2009
URI: http://hdl.handle.net/2122/5349
ISBN: 978-3-642-04090-0
Keywords: underwater detection systems
port protection
magnetic signal processing
Support Vector Machine
Subject Classification04. Solid Earth::04.05. Geomagnetism::04.05.04. Magnetic anomalies 
04. Solid Earth::04.05. Geomagnetism::04.05.08. Instruments and techniques 
05. General::05.01. Computational geophysics::05.01.01. Data processing 
05. General::05.01. Computational geophysics::05.01.05. Algorithms and implementation 
Abstract: People who attend to the problem of underwater port protection usually use sonar based systems. Recently it has been shown that integrating a sonar system with an auxiliary array of magnetic sensors can improve the effectiveness of the intruder detection system. One of the major issues that arise from the integrated magnetic and acoustic system is the interpretation of the magnetic signals coming from the sensors. In this paper a machine learning approach is proposed for the detection of divers or, in general, of underwater magnetic sources. The research proposed here, by means of a windowing of the signals, uses Support Vector Machines for classification, as tool for the detection problem. Empirical results show the effectiveness of the method.
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