Current Science

Open Access Open Access  Restricted Access Subscription Access

GPR Data Interpretation using Continuous Wavelet Transform:A Different Approach


Affiliations
1 Department of Applied Geophysics, Indian Institute of Technology (Indian School of Mines), Dhanbad 826 004, India
 

The objective of this communication is to establish a new technique for GPR data interpretation using continuous wavelet transform (CWT) approach. In the present study, we have adapted the CWT technique to detect the edges or abrupt changes in the signal. For validation of the proposed technique, we have acquired data over a known tunnel in point mode and time mode using two antennas of two different frequencies (40 MHz and 80 MHz). The tunnel is already known in the area, however information of overburden depth and extension of the tunnel was not properly known. Initially, GPR data have been processed using standard processing (RADAN 7.0) software and the tunnel has been delineated by the two small peaks in the signal. Sometimes, it becomes tough to interpret the small changes or discontinuities in the reflected GPR signal processed by the available standard software. Further, CWT has been performed on a wavelet around the same time depth at which tunnel has been detected based on the standard processing of the GPR data. The tunnel has been prominently delineated by the high wavelet coefficient values. A comparative analysis for width and depth estimation using GPR data and CWT technique has been carried out. While implementing CWT, it is essential to choose the suitable mother wavelet for high-resolution scalogram plot. Mother wavelet for our study area has been selected based on the maximum normalized mean power value of wavelet coefficients. We discuss an approach for tunnel detection and provide an efficient procedure to improve detection performance.

Keywords

CWT, Dielectric, GPR, Mother Wavelet, Scalogram, Tunnel.
User
Notifications
Font Size

  • Delwar, H., Evaluation of ground penetrating radar and resistivity profilings for characterizing lithology and moisture content changes: a case study of the high-conductivity United Kingdom Triassic sandstones. J. Geophys. Eng., 2013, 10, 9.

  • Huoo, Ni. S., Huang, Y. H., Lo, K. F. and Lin, D. C., Buried pipe detection by ground penetrating radar using the discrete wavelet transform. Comput. Geotechnol., 2010, 37, 440–448.

  • Shi, Z., Tian, G., Hobbs, R. W., Wo, H., Lin, J., Wu, L. and Liu, H., Magnetic gradient and ground penetrating radar prospecting of buried earthen archaeological remains at the Qocho City site in Turpan, China. Near Surf. Geophys., 2015, 13, 1–8.

  • Conyers, L. B., Ground-Penetrating Radar: An Introduction for Archaeologists, AltaMira Press, Walnut Creek, CA, 1997.

  • Zhao, Y., Wu, J., Xie, X., Chen, J. and Ge, S., Multiple suppression in GPR image for testing back-filled grouting within shield tunnel. In 13th International Conference on Ground Penetrating Radar, Lecce, Italy, 2010.

  • Zhao, Y., Chen, J. and Ge, S., Maxwell curl equation datuming for GPR test of tunnel grouting based on Kirchhoff integral solution. In 6th International Workshop on Advanced Ground Penetrating Radar (IWAGPR), Aachen, Germany, 2011, pp. 1–6.

  • Rong, L. X., Xun, S. J., Feng, L. Y., Hong, Z. C. and Yang, X. H., Study on the compound detection method of tunnel cavity disasters. J. Mining Safety Eng., 2011, 4, 633–637.

  • Ralston, J. and Hainsworth, D. W., Application of ground penetrating radar for coal depth measurement. In IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP99), 1999, 4, 2275–2278.

  • Singh, K. K. K., MineVue radar for delineation of coal barrier thickness in underground coal mines: case studies. J. Geol. Soc. India, 2015, 82, 247–253.

  • Singh, K. K. K., Application of ground penetrating radar for hydro-geological study. J. Sci. Ind. Res., 2006, 65, 160–164.

  • Kuloglu, M. and Chen, C., Ground penetrating radar for tunnel detection. In Geoscience and Remote Sensing Symposium (IGARSS), IEEE International, 2010.

  • Lee, K., Szerbiak, R., McMechan, G. A. and Hwang, N., A 3-D ground-penetrating radar and wavelet transform analysis of the morphology of shore face deposits in the Upper Cretaceous Ferron Sandstone Member, Utah. AAPG Bull., 1996, 93, 181–201.

  • Zhou, W., Wang, G., Chen, X., Chen, M. and Tian, M., Classification of ground penetrating radar echo signals using wavelet packet and RBF, IEEE Conf Radar, 2006.

  • Idi, B. Y. and Kamarudin, M. N., Interpretation of ground penetrating radar image using digital wavelet transform. Asian J. Appl. Sci., 2012, 5, 174–182.

  • Chandrasekhar, E. and Rao, V. E., Wavelet analysis of geophysical well-log data of Bombay Offshore Basin, India. Math Geosci., 2012, 44, 901–928.

  • Mukherjee, B., Srivardhan, V. and Roy, P. N. S., Identification of formation interfaces by using wavelet and Fourier transforms. J. Appl. Geophys., 2016, 128, 140–149.

  • Singh, A. and Singh, U. K., Wavelet analysis of residual gravity anomaly profiles: Modeling of Jharia Coal Basin, India. J. Geol. Soc. India, 2016, 86(6), 679–686.

  • Goyal, P. and Tiwari, V. M., Application of the continuous wavelet transform of gravity and magnetic data to estimate sub-basalt sediment thickness. Geophys. Prospect., 2014, 62, 148–157.

  • Ouadfeul, S. A. and Aliouane, L., Noise attenuation from GPR data using wavelet transform and artificial neural network. Int. J. Appl. Phys. Math., 2014, 4(6), 426–433.

  • Liu, L. and Oristaglio, M., GPR signal analysis: Instantaneous parameter estimation using the wavelet transform. Proceedings of the 7th International Conferenceon Ground Penetrating Radar, 1998.

  • Topp, G. C., Davis, J. L. and Annan, A. P., Electromagnetic determination of soil water content: measurements in coaxial transmission lines. Water Resour. Res., 1980, 16, 574–582.

  • Olhoeft, G. R., Applications and limitations of ground penetrating radar. Soc. Explor. Geophys., 1984, 54th Annual International Meeting, Atlanta, GA, pp. 147–148 abstr.).

  • Haeni, F. P., McKeegan, D. K. and Capron, D. R., Ground penetrating radar study of the thickness and extent of sediments beneath Silver Lake, Berlin and Meriden, Connecticut. US Geol. Surv. Water Resour. Invest., 1987, 19, 85–4108.

  • Beres, M. and Haeni, F. P., Application of ground-penetrating radar methods to hydrogeologic studies. Ground Water, 1991, 29, 375–386.

  • Benson, A. K., Application of ground-penetrating radar in assessing some geological hazards: examples of ground water contamination, faults, cavities. J. Appl. Geophys., 1995, 33, 177–193.

  • Chlaib, H. K., Abdulnaby, W. and Abd, N., Application of the ground penetrating radar to detect weapons caches and unexploded ordnance: laboratory experiments. IOSR J. Appl. Geol. Geophys., 2014, 2, 41–50.

  • Polikar, R., The story of wavelets. In Physics and Modern Topics in Mechanical and Electrical Engineering(ed. Mastorakis, N.), World Scientific and Engineering Society Press, Greece, 1999, pp. 192–197.

  • Boggess, A. and Narcowich, F. J., A First Course in Wavelets With Fourier Analysis, Prentice-Hall, Englewood Cliffs, NJ, 2001.

  • Moreau, F., Gibert, D., Holschneider, M. and Saracco, G., Wavelet analysis of potential fields. Inverse Problem, 1997, 13, 165– 178.

  • Moreau, F., Gibert, D., Holschneider, M. and Saracco, G., Identification of sources of potential fields with the continuous wavelet transform: Basic theory. J. Geophys. Res., 1999, 104, 5003– 5013.

  • Misiti, M., Misiti, Y., Oppenheim, G. and Poggi, J. M., Wavelet Toolbox for Use with MATLAB User’s Guide, The Math Works Inc., Natick, MA, USA, 2000, p. 572.

  • Solla, M., Lorenzo, H., Rial, F. I. and Novo, A., Ground-penetrating radar for the structural evaluation of masonry bridges: Results and interpretational tools. Construct. Build. Mat., 2012, 29, 458–465.

  • Kofman, L., Ronen, A. and Frydman, S., Detection of model voids by identifying reverberation phenomena in GPR records. J. Appl.Geophys., 2006, 59, 284–299.


Abstract Views: 405

PDF Views: 147




  • GPR Data Interpretation using Continuous Wavelet Transform:A Different Approach

Abstract Views: 405  |  PDF Views: 147

Authors

Sarvesh Kumar
Department of Applied Geophysics, Indian Institute of Technology (Indian School of Mines), Dhanbad 826 004, India
Sanjit Kumar Pal
Department of Applied Geophysics, Indian Institute of Technology (Indian School of Mines), Dhanbad 826 004, India
Soma Rani
Department of Applied Geophysics, Indian Institute of Technology (Indian School of Mines), Dhanbad 826 004, India
Saurabh
Department of Applied Geophysics, Indian Institute of Technology (Indian School of Mines), Dhanbad 826 004, India

Abstract


The objective of this communication is to establish a new technique for GPR data interpretation using continuous wavelet transform (CWT) approach. In the present study, we have adapted the CWT technique to detect the edges or abrupt changes in the signal. For validation of the proposed technique, we have acquired data over a known tunnel in point mode and time mode using two antennas of two different frequencies (40 MHz and 80 MHz). The tunnel is already known in the area, however information of overburden depth and extension of the tunnel was not properly known. Initially, GPR data have been processed using standard processing (RADAN 7.0) software and the tunnel has been delineated by the two small peaks in the signal. Sometimes, it becomes tough to interpret the small changes or discontinuities in the reflected GPR signal processed by the available standard software. Further, CWT has been performed on a wavelet around the same time depth at which tunnel has been detected based on the standard processing of the GPR data. The tunnel has been prominently delineated by the high wavelet coefficient values. A comparative analysis for width and depth estimation using GPR data and CWT technique has been carried out. While implementing CWT, it is essential to choose the suitable mother wavelet for high-resolution scalogram plot. Mother wavelet for our study area has been selected based on the maximum normalized mean power value of wavelet coefficients. We discuss an approach for tunnel detection and provide an efficient procedure to improve detection performance.

Keywords


CWT, Dielectric, GPR, Mother Wavelet, Scalogram, Tunnel.

References





DOI: https://doi.org/10.18520/cs%2Fv118%2Fi7%2F1104-1111