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Proceedings Paper

Pseudoinverse imaging for multimonostatic ground-penetrating radar data
Author(s): Yan Chen; Alan J. Witten
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Paper Abstract

A 2D regularized pseudoinverse algorithm is described for subsurface imaging from multifrequency multi-monostatic ground penetrating radar (GPR) data. The algorithm is based on the Born approximation for vector electromagnetic scattering. Versions of the algorithm using both the ideal point sources/receivers, like the usual inversion algorithms of diffraction tomography (DT), and the arbitrary transmitting/receiving antennas based on Kerns' scattering matrix formulation are given. The algorithm allows either a lossless background medium or an attenuating background. The reconstruction results are obtained analytically by using a regularized pseudoinverse operator. The test results form both synthetic and experimental data are presented to illustrate the use of the algorithm.

Paper Details

Date Published: 18 October 2001
PDF: 9 pages
Proc. SPIE 4394, Detection and Remediation Technologies for Mines and Minelike Targets VI, (18 October 2001); doi: 10.1117/12.445458
Show Author Affiliations
Yan Chen, Univ. of Oklahoma (United States)
Alan J. Witten, Univ. of Oklahoma (United States)

Published in SPIE Proceedings Vol. 4394:
Detection and Remediation Technologies for Mines and Minelike Targets VI
Abinash C. Dubey; James F. Harvey; J. Thomas Broach; Vivian George, Editor(s)

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