Two-Dimensional Linear Inversion of GPR Data with a Shifting Zoom along the Observation Line

• Main Authors: Raffaele Persico, Giovanni Ludeno, Francesco Soldovieri, Albéric De Coster, Sébastien Lambot
• Format: Article
• Language: English
• Published: MDPI AG 2017-09-01
• Series: Remote Sensing
• Subjects: ground-penetrating radar (GPR); linear inverse scattering problem; large scale surveys
• Online Access: https://www.mdpi.com/2072-4292/9/10/980

Linear inverse scattering problems can be solved by regularized inversion of a matrix, whose calculation and inversion may require significant computing resources, in particular, a significant amount of RAM memory. This effort is dependent on the extent of the investigation domain, which drives a large amount of data to be gathered and a large number of unknowns to be looked for, when this domain becomes electrically large. This leads, in turn, to the problem of inversion of excessively large matrices. Here, we consider the problem of a ground-penetrating radar (GPR) survey in two-dimensional (2D) geometry, with antennas at an electrically short distance from the soil. In particular, we present a strategy to afford inversion of large investigation domains, based on a shifting zoom procedure. The proposed strategy was successfully validated using experimental radar data.