Model-based approach to the detection, classification, and characterization of subsurface targets from forward-looking ground penetrating radar data

2002 ◽  
Author(s):  
Jie Cheng ◽  
Eric L. Miller
Keyword(s):  
Ground Penetrating Radar ◽  
Radar Data ◽  
Model Based ◽  
Ground Penetrating ◽  
Forward Looking

scholarly journals Characterization of the shallow structures of active fault zones using 3-D ground-penetrating radar data

2008 ◽  
Vol 113 (B10) ◽  
Author(s):  
Alastair F. McClymont ◽  
Alan G. Green ◽  
Pilar Villamor ◽  
Heinrich Horstmeyer ◽  
Christof Grass ◽  
...  
Keyword(s):  
Ground Penetrating Radar ◽  
Active Fault ◽  
Radar Data ◽  
Fault Zones ◽  
Ground Penetrating

Model-based layer stripping FWI of Ground Penetrating Radar data

2019 ◽  
Author(s):  
Nan Huai* ◽  
Zhaofa Zeng ◽  
Jing Li ◽  
Zhipeng Hu
Keyword(s):  
Ground Penetrating Radar ◽  
Radar Data ◽  
Model Based ◽  
Ground Penetrating

Change detection for detecting potential threats in forward-looking video and downward-looking ground-penetrating radar data

2011 ◽  
Author(s):  
Peter Torrione ◽  
Kenneth Morton, Jr. ◽  
Christopher Ratto ◽  
Michael Gunter ◽  
Leslie Collins
Keyword(s):  
Change Detection ◽  
Ground Penetrating Radar ◽  
Radar Data ◽  
Ground Penetrating ◽  
Forward Looking

Full-waveform inversion of Ground Penetrating Radar data for target characterization in multilayer environments

2020 ◽  
Author(s):  
Alessandro Fedeli ◽  
Matteo Pastorino ◽  
Andrea Randazzo
Keyword(s):  
Ground Penetrating Radar ◽  
Waveform Inversion ◽  
Region Of Interest ◽  
Mathematical Structure ◽  
Radar Data ◽  
Mathematical Framework ◽  
Qualitative Properties ◽  
Dielectric Characterization ◽  
Ground Penetrating

<p>In the last decades, ever growing efforts have been devoted to the development of techniques for extracting information from Ground Penetrating Radar (GPR) measurements. In particular, the processed data are used to retrieve two different kinds of features. The first kind includes the so-called qualitative properties of buried targets, which are typically related to the location and/or the shape of the objects. The second kind of features is related to the quantitative dielectric characterization of the underground targets. Both strengths and weaknesses of qualitative and quantitative approaches are well known in the scientific community. Despite the more complex mathematical structure of quantitative techniques, their use is attracting an increasing attention in multiple geophysical and engineering applications.</p><p>In this contribution, the full dielectric characterization of the region of interest is retrieved by a quantitative inversion approach that works in the mathematical framework of Lebesgue spaces with variable exponents. The most important parameter of this algorithm is represented by the map of the exponent function inside the investigation domain. Here, different strategies for obtaining and refining this map in an adaptive fashion iteration-by-iteration are proposed. Numerical results are presented to check the effectiveness of the inversion approach.</p>

Analysis of Jaycor's forward-looking ground-penetrating radar data

2000 ◽  
Author(s):  
Erik M. Rosen ◽  
Elizabeth Ayers ◽  
Darrell Bonn ◽  
Kelly D. Sherbondy ◽  
Charles A. Amazeen
Keyword(s):  
Ground Penetrating Radar ◽  
Radar Data ◽  
Ground Penetrating ◽  
Forward Looking
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