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Underground imaging based on edge-preserving regularization

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3 Author(s)
Haihua Feng ; Dept. of Electr. & Comput. Eng., Boston Univ., MA, USA ; Castanon, D.A. ; Karl, W.C.

Develops approaches for imaging weak-contrast buried objects using data from a ground penetrating radar array. An approximate physical model relating the collected data to the underground objects is developed. This model uses ray optics to represent the air/soil interface, and a Born approximation to model the weak contrast backscattering from buried objects. In order to address both modeling errors and ill-posedness, the proposed image reconstruction algorithms use regularization based on a total variation norm with orientation preference. The algorithms are tested on data generated by nonlinear finite difference time domain electromagnetic simulations

Published in:

Information Intelligence and Systems, 1999. Proceedings. 1999 International Conference on

Date of Conference:

1999