TY - GEN
T1 - Compressed sensing-based frequency selection for classification of ground penetrating radar signals
AU - Shao, Wenbin
AU - Bouzerdoum, Abdesselam
AU - Phung, Son Lam
PY - 2012
Y1 - 2012
N2 - 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.
AB - 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.
KW - compressed sensing
KW - frequency selection
KW - ground penetrating radar
KW - pattern classification
UR - https://www.scopus.com/pages/publications/84867585907
U2 - 10.1109/ICASSP.2012.6288640
DO - 10.1109/ICASSP.2012.6288640
M3 - Conference contribution
AN - SCOPUS:84867585907
SN - 9781467300469
T3 - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
SP - 3377
EP - 3380
BT - 2012 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2012 - Proceedings
T2 - 2012 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2012
Y2 - 25 March 2012 through 30 March 2012
ER -