Vectorial nature of georadar data

Frank Lehmann; David Boerner; Klaus Holliger; Alan G. Green

doi:10.1117/12.383523

27 April 2000 Vectorial nature of georadar data

Frank Lehmann, David Boerner, Klaus Holliger, Alan G. Green

Proceedings Volume 4084, Eighth International Conference on Ground Penetrating Radar; (2000) https://doi.org/10.1117/12.383523
Event: 8th International Conference on Ground Penetrating Radar, 2000, Gold Coast, Australia

Abstract

Seismic reflection processing techniques are applied routinely to georadar data. Although similarities exist between radar and seismic wave propagation, there are some significant differences (e.g., the dipole nature of georadar sources, receivers and elemental sources used to represent scattering bodies). To understand better the consequences of recording dipolar wavefields, we simulate a number of multi-component georadar data sets. These simulations are based on a weak scattering approximation, such that point heterogeneities in the subsurface can be represented by infinitesimal dipoles with moments parallel and proportional to the incident georadar wavefields. Since many subsurface structures can be modeled by appropriate suites of infinitesimal dipoles, the simulation results are quite general. On the basis of our simulations, we determine that 'pseudo-scalar' wavefields can be simulated from coincident georadar data sets acquired with two pairs of parallel source-receiver antenna, one oriented perpendicular to the other. Pseudo-scalar georadar data, which are characterized by low degrees of directionality, can be processed confidently using standard seismic processing software. To illustrate the advantages of multi-component georadar data, we combine 3D georadar data sets acquired with dual component source-receiver antenna pairs to form pseudo- scalar wavefield images.

Citation Download Citation

Frank Lehmann, David Boerner, Klaus Holliger, and Alan G. Green "Vectorial nature of georadar data", Proc. SPIE 4084, Eighth International Conference on Ground Penetrating Radar, (27 April 2000); https://doi.org/10.1117/12.383523

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