Researching migration methods, entropy and energy diagram to process ground penetrating radar data

Van Nguyen Thanh; Thuan Van Nguyen; Trung Hoai Dang; Triet Minh Vo; Lieu Nguyen Nhu Vo

doi:10.15625/1859-3097/17/4B/13005

Author affiliations

Authors

Van Nguyen Thanh University of Science, Vietnam National University-Ho Chi Minh City
Thuan Van Nguyen University of Science, Vietnam National University-Ho Chi Minh City
Trung Hoai Dang University of Science, Vietnam National University-Ho Chi Minh City
Triet Minh Vo University of Science, Vietnam National University-Ho Chi Minh City
Lieu Nguyen Nhu Vo University of Science, Vietnam National University-Ho Chi Minh City

DOI:

https://doi.org/10.15625/1859-3097/17/4B/13005

Keywords:

Migration, entropy, energy, processing GPR data.

Abstract

Electromagnetic wave velocity is the most important parameter in processing ground penetrating radar data. Migration algorithm which heavily depends on wave velocity is used to concentrate scattered signals back to their correct locations. Depending wave velocity in urban area is not easy task by using traditional methods (i.e., common midpoint). We suggest using entropy and energy diagram as standard for achieving suitable velocity estimation. The results of one numerical model and areal data indicate that migrated section using accurate velocity has minimum entropy or maximum energy. From the interpretation, size and depth of anomalies are reliably identified.

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References

Yilmaz, O., 1987. Seismic data processing. Investigations in geophysics.

Van N. T, Thuan N. V., Trung D. H., 2014. F-K migration and minimum entropy in processing GPR data. Journal of Geology, No. 341-345, pp. 290-299.

Van N. T., Thuan N. V., Trung D. H., Lieu N. V. N., Triet V. M., Hoa N. T, 2015. Using migration algorithm to determine velocities in high frequency electromagnetic prospecting, Journal of Geology, No. 352-354, pp. 217 – 228.

Van N. T., Thuan N. V., Trung D. H., 2015. Combination of Kirchhoff migration method and the energy diagram in the process of ground penetrating radar data, Science & Technology Development Journal, Vol. 18, No. T5-2015, pp. 42 – 50.

Yilmaz, O., 2001. Seismic Data Analysis: Processing, Inversion, and Interpretation of Seismic Data. Society of Exploration Geophysicists, United States of America.

Forte, E., Dossi, M., Pipan, M., Colucci, R., 2014. Velocity analysis from common offset GPR data inversion: theory and application to synthetic and real data. Geophysical Journal International, 197(3), 1471-1483.

Sham, J.F., Lai, 2016. Development of a new algorithm for accurate estimation of GPR's wave propagation velocity by common-offset survey method. NDT & E International 83, 104-113.

Flores-Tapia D., Pistorius S., 2010. An Entropy-Based Propagation Speed Estimation Method for Near-Field Subsurface Radar Imaging, EURASIP Journal on Advances in Signal Processing, Volume 2010, Article ID 636458, 13 pages.

Tzanis, A., 2010. MATGPR: A freeware MATLAB package for the analysis of common-offset GPR data. In: Geophysical Research Abstracts.