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
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

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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.

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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.

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Published

15-12-2017

How to Cite

Thanh, V. N., Nguyen, T. V., Dang, T. H., Vo, T. M., & Vo, L. N. N. (2017). Researching migration methods, entropy and energy diagram to process ground penetrating radar data. Vietnam Journal of Marine Science and Technology, 17(4B), 167–174. https://doi.org/10.15625/1859-3097/17/4B/13005

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Articles