Next Article in Journal
Fractional Snow Cover Mapping from FY-2 VISSR Imagery of China
Next Article in Special Issue
Metrological Characterization for Vital Sign Detection by a Bioradar
Previous Article in Journal
Ship Detection in Optical Remote Sensing Images Based on Wavelet Transform and Multi-Level False Alarm Identification
Previous Article in Special Issue
Towards an Operational Use of Geophysics for Archaeology in Henan (China): Methodological Approach and Results in Kaifeng
Article Menu
Issue 10 (October) cover image

Export Article

Open AccessFeature PaperArticle
Remote Sens. 2017, 9(10), 980;

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

Institute for Archaeological and Monumental Heritage IBAM-CNR, Lecce 73100, Italy
International Telematic University Uninettuno UTIU, Rome 00186, Italy
Institute for the Electromagnetic Sensing of the Environment IREA-CNR, Napoli 80124, Italy
Earth and Life Institute, Environmental Sciences, Université catholique de Louvain, Louvain-la-Neuve 1348, Belgium
Author to whom correspondence should be addressed.
Received: 23 May 2017 / Revised: 9 September 2017 / Accepted: 13 September 2017 / Published: 22 September 2017
(This article belongs to the Special Issue Radar Systems for the Societal Challenges)
Full-Text   |   PDF [2771 KB, uploaded 27 September 2017]   |  


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. View Full-Text
Keywords: ground-penetrating radar (GPR); linear inverse scattering problem; large scale surveys ground-penetrating radar (GPR); linear inverse scattering problem; large scale surveys

Graphical abstract

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

Share & Cite This Article

MDPI and ACS Style

Persico, R.; Ludeno, G.; Soldovieri, F.; De Coster, A.; Lambot, S. Two-Dimensional Linear Inversion of GPR Data with a Shifting Zoom along the Observation Line. Remote Sens. 2017, 9, 980.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics



[Return to top]
Remote Sens. EISSN 2072-4292 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top