Two-dimensional imaging and shape recognition of land buried objects through polarimetric ground penetrating radar

2012 ◽  
Author(s):  
Khalid M. Ibrahim ◽  
Khalid F. A. Hussein ◽  
Abd-El-hadi A. Ammar
Keyword(s):  
Ground Penetrating Radar ◽  
Shape Recognition ◽  
Two Dimensional ◽  
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.

Sign in / Sign up

Export Citation Format

Share Document