Statistical method to localize buried landmines from GPR array measurement

Xiaoyin Xu; Eric L. Miller

doi:10.1117/12.445527

18 October 2001 Statistical method to localize buried landmines from GPR array measurement

Xiaoyin Xu, Eric L. Miller

Proceedings Volume 4394, Detection and Remediation Technologies for Mines and Minelike Targets VI; (2001) https://doi.org/10.1117/12.445527
Event: Aerospace/Defense Sensing, Simulation, and Controls, 2001, Orlando, FL, United States

Abstract

In this paper, we use an optimized frequency-wavenumber (F- K) migration method to localize subsurface objects form ground penetrating radar (GPR) array dat. F-K migration coherently processes waves collected at different positions by a GPR array by back-propagating the recorded waves to the underground objects, according to the wave equation. Performance of F-K migration on GPR measurement depends on accurate estimation of wave propagation velocity. Due to measurement noise and random ground surface, F-K migration may lose its resolution and accuracy. We propose an optimized method to improve the performance of F-K migration. The optimized method searches for a better velocity estimate in the framework of Tikhonov regularization. The Tikhonov regularization uses minimum entropy as the regularizer. By trying to minimize entropy of F-K migration results, better performance is achieved in terms of resolution and accuracy. Examples from applying the optimized F-K migration on real data are used to demonstrate its performance.

Citation Download Citation

Xiaoyin Xu and Eric L. Miller "Statistical method to localize buried landmines from GPR array measurement", Proc. SPIE 4394, Detection and Remediation Technologies for Mines and Minelike Targets VI, (18 October 2001); https://doi.org/10.1117/12.445527

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