Ground surface scattering and clutter suppression in ground-penetrating radar applications

2012 ◽  
Author(s):  
DaHan Liao
Keyword(s):  
Ground Penetrating Radar ◽  
Ground Surface ◽  
Surface Scattering ◽  
Clutter Suppression ◽  
Radar Applications ◽  
Ground Penetrating

A Clutter Suppression Algorithm for GPR Data Based on PCA Combining with Gradient Magnitude

2014 ◽  
Vol 644-650 ◽  
pp. 1662-1667 ◽  
Author(s):  
Qing Qing Lu ◽  
Jie Xin Pu ◽  
Xiao Hong Wang ◽  
Zhong Hua Liu
Keyword(s):  
Principal Component Analysis ◽  
Reinforced Concrete ◽  
Ground Penetrating Radar ◽  
Ground Surface ◽  
Principal Component ◽  
Clutter Suppression ◽  
Subtraction Method ◽  
Rc Structures ◽  
Gradient Magnitude ◽  
Ground Penetrating

Ground penetrating radar (GPR) is a powerful tool for detecting defects behind reinforced concrete (RC) structures. However, the received data from GPR includes a large number of clutters which are easy overwhelming the signal of target. In order to successfully extract the target signature, these clutters effects need to be eliminated. In this article, a clutter suppression algorithm based on Principal Component Analysis (PCA) combining with gradient magnitude is presented. PCA clutter suppression algorithm is applied to the data and removes most of the echoes from ground surface and portion of other clutters with weak energy. Then gradient magnitude clutter suppression is used to remove majority of the residue clutters. It is demonstrated from simulation that the proposed algorithm is able to significantly suppress the clutters and is superior to the PCA clutter suppression, magnitude clutter suppression and means subtraction method.

Vivaldi Antenna for Ground Penetrating Radar Applications

2018 ◽  
Vol 50 (001) ◽  
pp. 07-12 ◽  
Author(s):  
S. S. MEMON ◽  
A. A. JAMALI ◽  
M. R. ANJUM ◽  
M. M. MEMON ◽  
S. F. QADRI
Keyword(s):  
Ground Penetrating Radar ◽  
Radar Applications ◽  
Vivaldi Antenna ◽  
Ground Penetrating

Applying 2-D resistivity imaging and ground penetrating radar (GPR) methods to identify infiltration of water in the ground surface

2017 ◽  
Author(s):  
Azim Hilmy Mohamad Yusof ◽  
Muhamad Iqbal Mubarak Faharul Azman ◽  
Nur Azwin Ismail ◽  
Noer El Hidayah Ismail
Keyword(s):  
Ground Penetrating Radar ◽  
Ground Surface ◽  
Resistivity Imaging ◽  
Ground Penetrating

scholarly journals Estimating snow water equivalent over long mountain transects using snowmobile-mounted ground-penetrating radar

Geophysics ◽  
2016 ◽  
Vol 81 (1) ◽  
pp. WA183-WA193 ◽  
Author(s):  
W. Steven Holbrook ◽  
Scott N. Miller ◽  
Matthew A. Provart
Keyword(s):  
Ground Penetrating Radar ◽  
Snow Water Equivalent ◽  
Ground Surface ◽  
Snow Accumulation ◽  
Accurate Estimation ◽  
Snow Density ◽  
Snow Stratigraphy ◽  
Flood Estimation ◽  
Snow Water ◽  
Ground Penetrating

The water balance in alpine watersheds is dominated by snowmelt, which provides infiltration, recharges aquifers, controls peak runoff, and is responsible for most of the annual water flow downstream. Accurate estimation of snow water equivalent (SWE) is necessary for runoff and flood estimation, but acquiring enough measurements is challenging due to the variability of snow accumulation, ablation, and redistribution at a range of scales in mountainous terrain. We have developed a method for imaging snow stratigraphy and estimating SWE over large distances from a ground-penetrating radar (GPR) system mounted on a snowmobile. We mounted commercial GPR systems (500 and 800 MHz) to the front of the snowmobile to provide maximum mobility and ensure that measurements were taken on pristine snow. Images showed detailed snow stratigraphy down to the ground surface over snow depths up to at least 8 m, enabling the elucidation of snow accumulation and redistribution processes. We estimated snow density (and thus SWE, assuming no liquid water) by measuring radar velocity of the snowpack through migration focusing analysis. Results from the Medicine Bow Mountains of southeast Wyoming showed that estimates of snow density from GPR ([Formula: see text]) were in good agreement with those from coincident snow cores ([Formula: see text]). Using this method, snow thickness, snow density, and SWE can be measured over large areas solely from rapidly acquired common-offset GPR profiles, without the need for common-midpoint acquisition or snow cores.

scholarly journals Study Effect of Objects Orientation in the Mediums On GPR Signal Reflections Using FDTD Simulation

2018 ◽  
Vol 3 (11) ◽  
pp. 73-77
Author(s):  
Aye Mint Mohamed Mostapha ◽  
Gamil Alsharahi ◽  
Abdellah Driouach
Keyword(s):  
Finite Difference ◽  
Time Domain ◽  
Ground Penetrating Radar ◽  
High Frequency ◽  
Electromagnetic Waves ◽  
Ground Surface ◽  
Propagation Path ◽  
Fdtd Simulation ◽  
Ground Penetrating ◽  
Dielectric Objects

Ground penetrating radar (GPR) is a very effective tool for detecting and identifying objects below the ground surface.  based on  the propagation and reflection of high-frequency electromagnetic waves. The GPR reflection can be affected by many things like the type of objects orientation, their shapes ..ect. The purpose of this paper is to  study by simulation the effect of objects orientation in two different mediums (dry and wet sand) on the GPR signal reflection using Reflexw software which is based on a numerical method known as finite difference in time domain (FDTD).  The simulations that have been realized included a conductor  and dielectric objects. The results obtained have led us to find that the propagation path, the reflection strength and the signal form change with the change of object orientation and nature. To confirm the validity of the results, we compared them with experimental results previously published by researchers under the same conditions.

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