Sequential feature selection for detecting buried objects using forward looking ground penetrating radar

2016 ◽  
Author(s):  
Darren Shaw ◽  
Kevin Stone ◽  
K. C. Ho ◽  
James M. Keller ◽  
Robert H. Luke ◽  
...  
Keyword(s):  
Feature Selection ◽  
Ground Penetrating Radar ◽  
Buried Objects ◽  
Sequential Feature Selection ◽  
Selection For ◽  
Ground Penetrating ◽  
Forward Looking

Explosive hazard detection using MIMO forward-looking ground penetrating radar

2015 ◽  
Author(s):  
Darren Shaw ◽  
K. C. Ho ◽  
Kevin Stone ◽  
James M. Keller ◽  
Mihail Popescu ◽  
...  
Keyword(s):  
Ground Penetrating Radar ◽  
Hazard Detection ◽  
Ground Penetrating ◽  
Forward Looking

Multiple kernel learning for explosive hazard detection in forward-looking ground-penetrating radar

2012 ◽  
Author(s):  
Timothy C. Havens ◽  
Kevin Stone ◽  
Derek T. Anderson ◽  
James M. Keller ◽  
K. C. Ho ◽  
...  
Keyword(s):  
Ground Penetrating Radar ◽  
Multiple Kernel Learning ◽  
Kernel Learning ◽  
Multiple Kernel ◽  
Hazard Detection ◽  
Ground Penetrating ◽  
Forward Looking

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.

Locally adaptive detection algorithm for forward-looking ground-penetrating radar

2010 ◽  
Author(s):  
Timothy C. Havens ◽  
K. C. Ho ◽  
Justin Farrell ◽  
James M. Keller ◽  
Mihail Popescu ◽  
...  
Keyword(s):  
Ground Penetrating Radar ◽  
Detection Algorithm ◽  
Adaptive Detection ◽  
Locally Adaptive ◽  
Ground Penetrating ◽  
Forward Looking
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