Statistics – Applications
Scientific paper
Nov 2001
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2001spie.4491..131b&link_type=abstract
Proc. SPIE Vol. 4491, p. 131-142, Subsurface and Surface Sensing Technologies and Applications III, Cam Nguyen; Ed.
Statistics
Applications
Scientific paper
A group of algorithms of increasing complexity for the processing of bi-static fixed-offset Ground Penetrating Radar (GPR) data is considered, ranging from a simple Synthetic Aperture Radar (SAR) imaging to linearized effective and full-scale inversion. We consider only two-dimensional algorithms and discuss their applicability to real-life three-dimensional objects. A multi-stage interactive algorithm is proposed, which utilizes a filtered SAR-type imaging routine and a linearized inversion on a rough non-equispaced interactively constructed grid. The algorithm is tested on the experimental data obtained by the third party.
Budko Neil V.
van den Berg Peter M.
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