scholarly journals Ground Penetrating Radar Subsurface Imaging of Buried Objects

10.5772/7176 ◽  
2010 ◽  
Author(s):  
Francesco Soldovieri ◽  
Raffaele Solimene
Keyword(s):  
Ground Penetrating Radar ◽  
Subsurface Imaging ◽  
Buried Objects ◽  
Ground Penetrating

Ground Penetrating Radar Radargram Filter using Singularity Expansion Method

2021 ◽  
Vol 35 (11) ◽  
pp. 1437-1438
Author(s):  
Eder Ruiz ◽  
Daniel Chaparro-Arce ◽  
John Pantoja ◽  
Felix Vega ◽  
Chaouki Kasmiv ◽  
...  
Keyword(s):  
Ground Penetrating Radar ◽  
Expansion Method ◽  
Processing Technique ◽  
Sar Image ◽  
Metallic Material ◽  
Buried Objects ◽  
Ground Penetration Radar ◽  
Ground Penetrating

In this paper, the singularity expansion method (SEM) is used to improve the signal-to-clutter ratio of radargrams obtained with a ground penetration radar (GPR). SEM allows to select the poles of the GPR signals corresponding to unwanted signals, clutter, and also reflections of specific buried objects. A highly reflective metallic material was used to assess the use of SEM as a tool to eliminate unwanted reflections and signals produced by a GPR. Selected clutter poles are eliminated from each frame of the SAR image in order to keep only desired poles for analysis. Finally, the reconstructed radargram obtained applying SEM is compared with the image obtained using a well-known processing technique. Results show that the proposed technique can be used to straightforwardly remove undesired signals measured with GPRs.

scholarly journals A SAP-DoA Method for the Localization of Two Buried Objects

2013 ◽  
Vol 2013 ◽  
pp. 1-10 ◽  
Author(s):  
Simone Meschino ◽  
Lara Pajewski ◽  
Giuseppe Schettini
Keyword(s):  
Ground Penetrating Radar ◽  
Near Field ◽  
Dielectric Materials ◽  
Arrival Direction ◽  
Near Surface ◽  
Buried Objects ◽  
Radar Applications ◽  
Ground Penetrating ◽  
Detection And Localization ◽  
Dielectric Objects

A localization technique for buried metallic and dielectric objects is proposed and tested. An array of isotropic antennas investigates a scenario with cylindrical targets buried in a dielectric soil. The targets are in the near field of the array, and a Sub-Array Processing (SAP) approach is adopted: the array is partitioned into subarrays, and Direction of Arrival (DoA) algorithms are used to process the electromagnetic field received by each subarray and estimate the dominant arrival direction of the signal. By triangulating all the estimated DoAs, a crossing pattern is obtained. It is filtered by a Poisson-based procedure and subsequently elaborated by the -means clustering method in order to distinguish between targets and background, estimate the number of targets, and find their position. Several simulations have been performed to compare different DoA algorithms and to test the localization method in the presence of two buried cylinders. Different values of the permittivity of the involved dielectric materials have been considered; the target positions and size have also been varied. The proposed procedure can be useful for ground-penetrating radar applications, near-surface probing, and for the detection and localization of defects in a hosting medium.

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