In:
GEOPHYSICS, Society of Exploration Geophysicists, Vol. 72, No. 5 ( 2007-09), p. J65-J75
Kurzfassung:
The derivation of ground-penetrating radar (GPR) images in which the amplitudes of reflections and diffractions are consistent with subsurface electromagnetic property contrasts requires migration algorithms that correctly account for the antenna radiation patterns and the vectorial character of electromagnetic wavefields. Most existing vector-migration techniques are based on far-field approximations of Green’s functions, which are inappropriate for the majority of GPR applications. We have recently developed a method for rapidly computing practically exact-field Green’s functions in a multicomponent vector migration scheme. A significant disadvantage of this scheme is the extra effort needed to record, process, and migrate at least two components of GPR data. By making straightforward modifications to the multi-component algorithm, we derive an equivalent exact-field sin-gle-component vector-migration scheme that can be applied to most standard GPR data acquired using a single copolarized antenna pair. Our new formulation is valid for polarization-independent features (e.g., most point scatterers, spheres, and planar objects), but not for polarization-dependent ones (e.g., most underground public utilities). A variety of tests demonstrates the stability of the exact-field single-component operators. Applications of the new scheme to synthetic and field-recorded GPR data containing dipping planar reflections produce images that are virtually identical to the corresponding multicomponent vector-migrated images and are almost invariant to the relative orientations of antennas and reflectors. The new single-component vector-migration scheme is appropriate for migrating the majority of GPR data acquired by researchers and practitioners.
Materialart:
Online-Ressource
ISSN:
0016-8033
,
1942-2156
Sprache:
Englisch
Verlag:
Society of Exploration Geophysicists
Publikationsdatum:
2007
ZDB Id:
2033021-2
ZDB Id:
2184-2
SSG:
16,13
