The chapter deals with the method of the shifting zoom, which allows the effective use of inverse scattering algorithms for the reconstruction of domains much larger than the probing wavelength. Thanks to the shifting zoom, indeed, large amount of data can be managed and accurate reconstruction of electrical large spatial domains can be achieved with an affordable computational burden. The method is herein exploited to process GPR data gathered in archaeological sites and to achieve focused images of buried anomalies by means of a regularised linear inversion, performed by means of the truncated SVD of the involved scattering operator. In particular, results relative to experimental data will be shown and compared with a more common migration algorithm, both in a controlled situation and in the field.

The shifting zoom as the way to make possible the application of inverse scattering algorithms to GPR data, in "Microwave imaging based on inverse scattering: techniques, systems and applications"

Ilaria Catapano;Gianluca Gennarelli;Giovanni Ludeno;Francesco Soldovieri
2023

Abstract

The chapter deals with the method of the shifting zoom, which allows the effective use of inverse scattering algorithms for the reconstruction of domains much larger than the probing wavelength. Thanks to the shifting zoom, indeed, large amount of data can be managed and accurate reconstruction of electrical large spatial domains can be achieved with an affordable computational burden. The method is herein exploited to process GPR data gathered in archaeological sites and to achieve focused images of buried anomalies by means of a regularised linear inversion, performed by means of the truncated SVD of the involved scattering operator. In particular, results relative to experimental data will be shown and compared with a more common migration algorithm, both in a controlled situation and in the field.
2023
Istituto per il Rilevamento Elettromagnetico dell'Ambiente - IREA
9788894982633
Inverse Scattering
radar imaging
Ground Penetrating Radar
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/450932
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