Automatic classification of GPR signals

Proceedings of the 13th Internarional Conference on Ground Penetrating Radar, GPR 2010

Volumn , Issue , 2010, Pages

  Shao, W ^a   Bouzerdoum, A ^a   Phung, S L ^a   Su, L ^a   Indraratna, B ^a   Rujikiatkamjom, C ^a  

^a UNIVERSITY OF WOLLONGONG   (Australia)

Author keywords

Classification; GPR; Magnitude spectrum; SVM

Indexed keywords

AUTOMATIC CLASSIFICATION; AUTOMATIC CLASSIFICATION SYSTEMS; CLASSIFICATION; DATA SETS; GPR; GROUND PENETRATING RADAR; MAGNITUDE SPECTRUM; REAL-WORLD; SVM;

GEOLOGICAL SURVEYS; RADAR; SUPPORT VECTOR MACHINES;

GROUND PENETRATING RADAR SYSTEMS;

EID: 77956550871     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICGPR.2010.5550187     Document Type: Conference Paper

References (18)

1. A. P. Annan, "GPR - history, trends, and future developments, " Subsurface Sensing Technologies and Applications, vol.3, no.4, pp. 253-270, 2002.
2. D. J. Daniels, Ed., Ground Penetrating Radar, 2nd ed London: The Institution of Electrical Engineers, 2004.
3. A. Neal, "Ground-penetrating radar and its use in sedimentology: principles, problems and progress, " EarthScience Reviews, vol.66, no.3-4, pp. 261-330, 2004.
4. H. M. Jol, Ed., Ground Penetrating Radar Theory and Applications, 1st ed. Amsterdam: Elsevier science, 2009.
5. A. P. Annan, "Practical processing of GPR data, " in Proceedings of the Second Government Workshop on Ground Penetrating Radar, Columbus, ohio, 1993.
6. C. Hauck and C. Kneisel, Eds., Applied Geophysics in Periglacial Environments. [electronic resource]. Leiden: Cambridge University Press, 2008.
7. P. Xavier Neto and W. Euglnio de Medeiros, "A practical approach to correct attenuation effects in GPR data, " Journal of Applied Geophysics, vol.59, no.2, pp. 140-151, 2006.
8. J. M. Reynolds, An Introduction to Applied and Environmental Geophysics. New York: John Wiley, 1996.
9. A. Papandreou-Suppappola, Ed., Applications in timefrequency signal processing, ser. Electrical engineering and applied signal processing series. London: CRC Press LLC, 2003.
10. V. C. Chen and H. Ling, Time-Frequency Transforms for Radar Imaging and Signal Analysis. Boston: Artech House, 2002.
11. I. L. Al-Qadi, W. Xie, and R. Roberts, "Time-frequency approach for ground penetrating radar data analysis to assess railroad ballast condition, " Research in Nondestructive Evaluation, vol.19, no.4, pp. 219-237, 2008.
12. S. Shihab, O. Zahran, and W. Al-Nuaimy, "Timefrequency characteristics of ground penetrating radar reflections from railway ballast and plant, " in 7th IEEE High Frequency Postgraduate Student Colloquium, 2002.
13. S. Sinha, P. S. Routh, P. D. Anno, and J. P. Castagna, "Spectral decomposition of seismic data with continuouswavelet transform, " Geophysics, vol.70, no.6, pp. 19-25, 2005.
14. M. Fujimoto, K. Nonami, A. Tatsuo, Y. Shigeru, and M. Kazuhisa, "Mine detection algorithm using pattern classification method by sensor fusion-experimental results by means of GPR, " in Systems and Human Science. Amsterdam: Elsevier Science, 2005, pp. 259-274.
15. S. Abe, Support Vector Machines for Pattern Classification. New York: Springer, 2005.
16. A. Moore, Statistical data mining tutorials: support vector machines, 2001. [Online]. Available: http://www.autonlab.org/tutorials/
17. B. Moghaddam and M.-H. Yang, "Learning gender with support faces, " IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.24, no.5, pp. 707-711, 2002.
18. C.-C. Chang and C.-J. Lin, LIBSVU- a library for support vector machines, 2007. [Online]. Available: http://www.csie.ntu.edu.tw/cjlin/libsvm/