scholarly journals Real-time modeling of forward-looking ground penetrating radar (GPR) scattering from rough terrain

2016 ◽  
Author(s):  
Mohammad Mahdi Tajdini
Keyword(s):  
Real Time ◽  
Ground Penetrating Radar ◽  
Rough Terrain ◽  
Time Modeling ◽  
Ground Penetrating ◽  
Forward Looking

Real-Time Modeling of Forward-Looking Synthetic Aperture Ground Penetrating Radar Scattering From Rough Terrain

2019 ◽  
Vol 57 (5) ◽  
pp. 2754-2765 ◽  
Author(s):  
Mohammad M. Tajdini ◽  
Borja Gonzalez-Valdes ◽  
Jose A. Martinez-Lorenzo ◽  
Ann W. Morgenthaler ◽  
Carey M. Rappaport
Keyword(s):  
Real Time ◽  
Ground Penetrating Radar ◽  
Synthetic Aperture ◽  
Rough Terrain ◽  
Time Modeling ◽  
Radar Scattering ◽  
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

scholarly journals On the Introduction of Canny Operator in an Advanced Imaging Algorithm for Real-Time Detection of Hyperbolas in Ground-Penetrating Radar Data

Electronics ◽  
2020 ◽  
Vol 9 (3) ◽  
pp. 541 ◽  
Author(s):  
Željko Bugarinović ◽  
Lara Pajewski ◽  
Aleksandar Ristić ◽  
Milan Vrtunski ◽  
Miro Govedarica ◽  
...  
Keyword(s):  
Real Time ◽  
Ground Penetrating Radar ◽  
Urban Areas ◽  
Radar Data ◽  
Detection Algorithm ◽  
Advanced Imaging ◽  
Canny Operator ◽  
Imaging Algorithm ◽  
Canny Edge ◽  
Ground Penetrating

This paper focuses on the use of the Canny edge detector as the first step of an advanced imaging algorithm for automated detection of hyperbolic reflections in ground-penetrating radar (GPR) data. Since the imaging algorithm aims to work in real time; particular attention is paid to its computational efficiency. Various alternative criteria are designed and examined, to fasten the procedure by eliminating unnecessary edge pixels from Canny-processed data, before such data go through the subsequent steps of the detection algorithm. The effectiveness and reliability of the proposed methodology are tested on a wide set of synthetic and experimental radargrams with promising results. The finite-difference time-domain simulator gprMax is used to generate synthetic radargrams for the tests, while the real radargrams come from GPR surveys carried out by the authors in urban areas. The imaging algorithm is implemented in MATLAB.

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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