Optimization of data sampling and image reconstruction by GPR

Motoyuki Sato, Kazunori Takahashi, Li Yi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Citations (Scopus)

Abstract

This paper focuses on 3-dimensional (3D) image reconstruction by ground penetrating radar (GPR) data. Conventionally, we acquired a GPR gridded dataset with a fine interval, which satisfies the Nyquist spatial sampling criterion for an antenna. However, it takes long time for data acquisition. In this study, we tried two different approaches to reconstruct the image with sparse data that violated the Nyquist spatial sampling criterion: A non-gridded 3D migration method and a new interpolation method based on Projection onto convex sets (POCS) and frequency-wave number (f-k) filtering. Both methods are demonstrated with sand pit experiment datasets and a field experiment data that is acquired by our 3DGPR system. The results shows that both the non-gridded 3D migration method and the interpolation method can reconstruct the main target (a metal pipe at 0.8 m depth) well with the average spatial interval that equals to half wave length. But the non-gridded migration results (especially in shallow depth) suffer from the migration artifacts. The migrated result after interpolation is also demonstrated, and the migration artifacts can be reduced. These results indicate that it is possible to reduce the data density.

Original languageEnglish
Title of host publicationProceedings of the 15th International Conference on Ground Penetrating Radar, GPR 2014
EditorsLara Pajewski, Christophe Craeye, Antonis Giannopoulos, Frederic Andre, Sebastien Lambot, Evert Slob
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages615-618
Number of pages4
ISBN (Electronic)9781479967896
DOIs
Publication statusPublished - 2014 Dec 1
Event15th International Conference on Ground Penetrating Radar, GPR 2014 - Brussels, Belgium
Duration: 2014 Jun 302014 Jul 4

Publication series

NameProceedings of the 15th International Conference on Ground Penetrating Radar, GPR 2014

Other

Other15th International Conference on Ground Penetrating Radar, GPR 2014
CountryBelgium
CityBrussels
Period14/6/3014/7/4

Keywords

  • 3D Interpolation
  • 3D Migration
  • Ground penetrating radar (GPR)
  • Non-gridded data
  • Projection onto convex sets (POCS)

ASJC Scopus subject areas

  • Environmental Engineering
  • Computer Networks and Communications
  • Signal Processing
  • Geotechnical Engineering and Engineering Geology
  • Electrical and Electronic Engineering

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  • Cite this

    Sato, M., Takahashi, K., & Yi, L. (2014). Optimization of data sampling and image reconstruction by GPR. In L. Pajewski, C. Craeye, A. Giannopoulos, F. Andre, S. Lambot, & E. Slob (Eds.), Proceedings of the 15th International Conference on Ground Penetrating Radar, GPR 2014 (pp. 615-618). [6970498] (Proceedings of the 15th International Conference on Ground Penetrating Radar, GPR 2014). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICGPR.2014.6970498