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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 | ISBN: | 978-3-642-04090-0 | Keywords: | underwater detection systems port protection magnetic signal processing Support Vector Machine |
Subject Classification: | 04. 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. |
| Appears in Collections: | Book chapters |
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| File | Description | Size | Format | |
|---|---|---|---|---|
| Faggioni et al CISIS 2009.pdf | 213.32 kB | Adobe PDF | View/Open |
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