This work is concerned with the 3-D imaging problem of buried objects via enhanced microwave tomography ground penetrating radar (GPR) surveys. In particular, we propose a model based imaging approach, which exploits the Born approximation and accounts for the vectorial nature of the scattering phenomenon as well as for the presence of the air-soil interface. Moreover, a truncated singular value decomposition (TSVD) inversion scheme is applied to achieve stable and accurate results. The advantages offered by a full 3-D inversion algorithm with respect to the commonly adopted strategy, which produces 3-D images by interpolating 2-D reconstructions, are assessed against experimental data gathered in laboratory controlled conditions.

Full 3-D Electromagnetic Subsurface Imaging using Ground Penetrating Radar

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2013

Abstract

This work is concerned with the 3-D imaging problem of buried objects via enhanced microwave tomography ground penetrating radar (GPR) surveys. In particular, we propose a model based imaging approach, which exploits the Born approximation and accounts for the vectorial nature of the scattering phenomenon as well as for the presence of the air-soil interface. Moreover, a truncated singular value decomposition (TSVD) inversion scheme is applied to achieve stable and accurate results. The advantages offered by a full 3-D inversion algorithm with respect to the commonly adopted strategy, which produces 3-D images by interpolating 2-D reconstructions, are assessed against experimental data gathered in laboratory controlled conditions.
2013
Istituto per il Rilevamento Elettromagnetico dell'Ambiente - IREA
978-1-4799-0937-7
component
ground penetrating radar (GPR)
3-D subsurface imaging
linear inverse problem
singular value decomposition (SVD)
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/304079
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