2D Synthetic Emitter Array methodology for improving GPR reflections
Synthetic 1D-arrays of emitters are used in the area of GPR to improve primary reflections that in single-offset profiles show low continuity and amplitude due to the interference of clutter and noise. In this methodology, at each array position along the survey line, a series of single emitter-rece...
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Elsevier B.V.
2018
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| Acceso en línea: | Registro en Scopus DOI Handle Registro en la Biblioteca Digital |
| Aporte de: | Registro referencial: Solicitar el recurso aquí |
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| 003 | AR-BaUEN | ||
| 005 | 20230518205651.0 | ||
| 008 | 190410s2018 xx ||||fo|||| 00| 0 eng|d | ||
| 024 | 7 | |2 scopus |a 2-s2.0-85053796458 | |
| 040 | |a Scopus |b spa |c AR-BaUEN |d AR-BaUEN | ||
| 100 | 1 | |a Bullo, D. | |
| 245 | 1 | 0 | |a 2D Synthetic Emitter Array methodology for improving GPR reflections |
| 260 | |b Elsevier B.V. |c 2018 | ||
| 270 | 1 | 0 | |m Bonomo, N.; IFIBA, CONICET - Departamento de Física, Facultad de Ciencias Exactas y Naturales, Universidad de Buenos Aires - IFIBA, CONICET, Ciudad UniversitariaArgentina; email: bonomo@df.uba.ar |
| 506 | |2 openaire |e Política editorial | ||
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| 504 | |a Cedrina, L., Bonomo, N., Osella, A., An application of the Synthetic Emitter-Array method to improve GPR signals (2010) J. Appl. Geophys., 70, pp. 237-244 | ||
| 504 | |a Cedrina, L., Bonomo, N., Osella, A., GPR-signal improvement using a synthetic emitter array (2011) J. Appl. Geophys., 74, pp. 123-130 | ||
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| 504 | |a Jacob, R., Urban, T., Ground-Penetrating Radar velocity determination and precision estimates using Common-Midpoint (CMP) collection with hand- picking, semblance analysis and cross-correlation analysis: a case study and tutorial for archaeologists (2016) Archaeometry, 58, pp. 987-1002 | ||
| 504 | |a Jol, H., Ground Penetrating Radar. Theory and Applications (2009), p. 524. , Elsevier Amsterdam; Kikuchi, K., Mikada, H., Takekawa, J., Applicability of Phased Array Antenna to Ground Penetrating Radar for Subsurface Imaging Below Surface Obstacles. 78 EAGE Conference and Exhibition: Efficient Use of Technology – Unlocking Potential. Th P3 06 (2016); Liu, H., Sato, M., In situ measurement of pavement thickness and dielectric permittivity by GPR using an antenna array (2014) NDT&E Int., 64, pp. 65-71 | ||
| 504 | |a Lutz, P., Perroud, H., Phased-array transmitters for GPR surveys (2006) J. Geophys. Eng., 3, pp. 35-42 | ||
| 504 | |a Martins, S., Travassos, J., Sacchi, M., Interpolating GPR Data Using Anti-Alias Singular Spectrum Analysis (SSA) Method. Near Surface Geophysics (2017), 15, pp. 447-455; Paglieroni, D., Chambers, D., Mast, J., Bond, S., Beer, N.R., Imaging modes for ground penetrating radar and their relation to detection performance (2015) IEEE J. Selected Topics Appl. Earth Observ. Remote Sensing, 8, pp. 1132-1144 | ||
| 504 | |a Sato, M., Takayama, T., High range resolution directional borehole radar for 3-D fracture delineation (2009) Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 1, pp. 132-135 | ||
| 504 | |a Sato, M., Yi, L., Iitsuka, Y., Zou, L., Takahashi, K., Optimization of antenna polarization of the multistatic GPR system Yakumo (2016) 16th International Conference of Ground Penetrating Radar, p. 7572664 | ||
| 504 | |a Yilmaz, Ö., Seismic data analysis: processing, inversion and interpretation of seismic data (2001), p. 2024. , 2nd ed. Society Exploration Geophysicists Tulsa; Zhao, S., Al-Qadi, I., Development of an analytic approach utilizing the extended common midpoint method to estimate asphalt pavement thickness with 3-D ground-penetrating gradar (2016) NDT&E Int., l78, pp. 29-36 | ||
| 520 | 3 | |a Synthetic 1D-arrays of emitters are used in the area of GPR to improve primary reflections that in single-offset profiles show low continuity and amplitude due to the interference of clutter and noise. In this methodology, at each array position along the survey line, a series of single emitter-receiver measurements is performed, keeping the position of the receiver constant and placing consecutively the emitter at the positions of the nodes of the array grid. A definite phase relation between the traces that constitute each common receiver gather is established and used to shift them in time with respect to the reference-offset trace, and the results are averaged. The phase relations are defined in order to superpose constructively the primary reflections, and reduce the random noise and clutter. The 1D synthetic procedure is equivalent to narrowing the transmitted electromagnetic wave-front along the direction of a real 1D array, which reduces the interference produced by reflectors located in formerly illuminated regions of the soil, and directing the field along an emitters-reflector-receiver path that maximizes the amplitude of the primary reflection at the position of the receiver with respect to the other reflections. In this article, a previously developed 1D-array method is extended to 2D-arrays, and the results of the 2D extension are analyzed and compared to the results of the 1D-array, Common-Midpoint and Single Offset techniques. The proposed 2D procedure considers a rectangular, homogeneous geometry for the array and a simple phase-relation between the component traces. In addition to directing the wave-front towards the target, these settings make possible to reduce the width of the wave-front along both axes of the array, which is expected to enhance the 1D results. Since the dimensionality increases in the 2D geometry, the number of traces in the summation grows significantly, which should also improve the final result. As a part of the 2D methodology, a variable that represents the reflection improvement, with respect to the Single Offset method, is defined and optimized as a function of the phase differences between adjacent traces along both directions of the array and the position of the emitters-receiver group along the survey line. A final data-section is generated from the optimal values found in this step. To evaluate the results of these methodologies, two basic types of reflections are analyzed: diffractions produced by small objects and reflections at extensive interfaces. Numerical and laboratory data are considered. The effects of different numbers of emitters and distances between them on the results are investigated, in order to obtain the best result. The 2D method shows noticeable enhancements of the continuity and amplitude of the primary reflection with respect to the other methods. © 2018 Elsevier B.V. |l eng | |
| 536 | |a Detalles de la financiación: Agencia Nacional de Promoción Científica y Tecnológica | ||
| 536 | |a Detalles de la financiación: Consejo Nacional de Investigaciones Científicas y Técnicas | ||
| 536 | |a Detalles de la financiación: This work was partially supported by CONICET and ANPCYT . | ||
| 593 | |a IFIBA, CONICET - Departamento de Física, Facultad de Ciencias Exactas y Naturales, Universidad de Buenos Aires - IFIBA, CONICET, Ciudad Universitaria, Buenos Aires, 1428, Argentina | ||
| 690 | 1 | 0 | |a CLUTTER |
| 690 | 1 | 0 | |a GPR |
| 690 | 1 | 0 | |a NOISE |
| 690 | 1 | 0 | |a PHASED ARRAY |
| 690 | 1 | 0 | |a REFLECTION IMPROVEMENT |
| 690 | 1 | 0 | |a SYNTHETIC EMITTER ARRAY |
| 690 | 1 | 0 | |a ANTENNA PHASED ARRAYS |
| 690 | 1 | 0 | |a CLUTTER (INFORMATION THEORY) |
| 690 | 1 | 0 | |a ELECTROMAGNETIC WAVES |
| 690 | 1 | 0 | |a GROUND PENETRATING RADAR SYSTEMS |
| 690 | 1 | 0 | |a RADAR CLUTTER |
| 690 | 1 | 0 | |a REFLECTION |
| 690 | 1 | 0 | |a SURVEYS |
| 690 | 1 | 0 | |a COMMON MID POINTS |
| 690 | 1 | 0 | |a EMITTER ARRAYS |
| 690 | 1 | 0 | |a GPR REFLECTION |
| 690 | 1 | 0 | |a LABORATORY DATUM |
| 690 | 1 | 0 | |a NOISE |
| 690 | 1 | 0 | |a OPTIMAL VALUES |
| 690 | 1 | 0 | |a PHASE DIFFERENCE |
| 690 | 1 | 0 | |a SYNTHETIC PROCEDURES |
| 690 | 1 | 0 | |a WAVEFRONTS |
| 690 | 1 | 0 | |a DATA PROCESSING |
| 690 | 1 | 0 | |a GEOMETRY |
| 690 | 1 | 0 | |a GEOPHYSICAL ARRAY |
| 690 | 1 | 0 | |a GROUND PENETRATING RADAR |
| 690 | 1 | 0 | |a NOISE |
| 690 | 1 | 0 | |a OPTIMIZATION |
| 690 | 1 | 0 | |a PERFORMANCE ASSESSMENT |
| 700 | 1 | |a Bonomo, N. | |
| 773 | 0 | |d Elsevier B.V., 2018 |g v. 159 |h pp. 285-293 |p J. Appl. Geophys. |x 09269851 |w (AR-BaUEN)CENRE-5414 |t Journal of Applied Geophysics | |
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