New results on clutter reduction and parameter estimation for land mine detection using GPR

Luc M. van Kempen; Hichem Sahli; J. Brooks; Jan P.H. Cornelis

doi:10.1117/12.383532

27 April 2000 New results on clutter reduction and parameter estimation for land mine detection using GPR

Luc M. van Kempen, Hichem Sahli, J. Brooks, Jan P.H. Cornelis

Proceedings Volume 4084, Eighth International Conference on Ground Penetrating Radar; (2000) https://doi.org/10.1117/12.383532
Event: 8th International Conference on Ground Penetrating Radar, 2000, Gold Coast, Australia

Abstract

One of the main problems with the interpretation of GPR data is the strong ground reflection, obscuring signals arriving from just underneath the surface. The strength of this reflection can be reduced by deconvolution. This technique is especially useful when GPR is used to detect buried landmines. Parametric and non parametric time variant estimators are used for clutter characterization. Wavelet decomposition/reconstruction for noise removal is then applied. The application of the proposed signal processing technique to GPR data yields a substantial enhancement of the target reflection as well as a good estimation of physical parameters such as propagation velocity and target position.

Citation Download Citation

Luc M. van Kempen, Hichem Sahli, J. Brooks, and Jan P.H. Cornelis "New results on clutter reduction and parameter estimation for land mine detection using GPR", Proc. SPIE 4084, Eighth International Conference on Ground Penetrating Radar, (27 April 2000); https://doi.org/10.1117/12.383532

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