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Sparse Reconstruction From GPR Data With Applications to Rebar Detection

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5 Author(s)
Soldovieri, F. ; Inst. for Electromagn. Sensing of the Environ. (IREA), Italian Nat. Res. Council (CNR), Naples, Italy ; Solimene, R. ; Lo Monte, L. ; Bavusi, M.
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The problem of detecting and localizing 2-D thin scatterers (i.e., elongated scatterers whose cross sections are small in terms of the probing wavelength) from scattered field measurements is considered. To this end, a linear model that neglects mutual scattering and is based on a distributional representation of the unknown is established. An improved imaging technique based on a minimization algorithm, which takes advantage of the inherent sparseness of the considered ground-penetrating radar scenario, is presented and compared to a classical migration algorithm. The comparison is achieved for both synthetically generated and experimental data collected in realistic conditions under a multimonostatic/multifrequency configuration.

Published in:

Instrumentation and Measurement, IEEE Transactions on  (Volume:60 ,  Issue: 3 )

Date of Publication:

March 2011

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