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Compressed sensing-based frequency selection for classification of ground penetrating radar signals

Conference Paper


Abstract


  • In this paper we present an automatic classification system for ground penetrating radar (GPR) signals. The system extracts the magnitude spectra at resonant frequencies and classifies them using support vector machines. To locate the resonant frequencies, we propose an approach based on compressed sensing and orthogonal matching pursuit. The performance of the system is evaluated by classifying GPR traces from different ballast fouling conditions. The experimental results show that the proposed approach, compared to the approach of using frequencies at local maxima, represents the GPR signal more efficiently using a small number of coefficients, and obtains higher classification accuracy. © 2012 IEEE.

Publication Date


  • 2012

Citation


  • W. Shao, A. Bouzerdoum & S. Phung, "Compressed sensing-based frequency selection for classification of ground penetrating radar signals," in ICASSP 2012: IEEE International Conference on Acoustics, Speech and Signal Processing, 2012, pp. 3377-3380.

Scopus Eid


  • 2-s2.0-84867585907

Ro Metadata Url


  • http://ro.uow.edu.au/infopapers/2307

Has Global Citation Frequency


Start Page


  • 3377

End Page


  • 3380

Place Of Publication


  • USA

Abstract


  • In this paper we present an automatic classification system for ground penetrating radar (GPR) signals. The system extracts the magnitude spectra at resonant frequencies and classifies them using support vector machines. To locate the resonant frequencies, we propose an approach based on compressed sensing and orthogonal matching pursuit. The performance of the system is evaluated by classifying GPR traces from different ballast fouling conditions. The experimental results show that the proposed approach, compared to the approach of using frequencies at local maxima, represents the GPR signal more efficiently using a small number of coefficients, and obtains higher classification accuracy. © 2012 IEEE.

Publication Date


  • 2012

Citation


  • W. Shao, A. Bouzerdoum & S. Phung, "Compressed sensing-based frequency selection for classification of ground penetrating radar signals," in ICASSP 2012: IEEE International Conference on Acoustics, Speech and Signal Processing, 2012, pp. 3377-3380.

Scopus Eid


  • 2-s2.0-84867585907

Ro Metadata Url


  • http://ro.uow.edu.au/infopapers/2307

Has Global Citation Frequency


Start Page


  • 3377

End Page


  • 3380

Place Of Publication


  • USA