Application of a Combined Denoising Method in Ground Penetrating Radar Signal Pre-processing

Author(s):  
Dingiie Xu ◽  
Yuxuan Wu ◽  
Feng Shen
2014 ◽  
Vol 1010-1012 ◽  
pp. 1272-1275
Author(s):  
Dan Dan Liu ◽  
Zhi Qiu Yang ◽  
Chun Rui Tang

The ground penetrating radar and radar wave propagation in the subsurface environment is very complex. All kinds of noise and clutter interference is very serious, and detection echo data is a variety of with clutter. Therefore, the key techniques of data processing is to suppress clutter processing of ground penetrating radar record data. Surfacelet transform can efficiently capture and represent local surface singularities with different sizes. In order to improve the reliability of 3D ground penetrating radar detection results and accuracy, this paper presents a three-dimensional ground penetrating radar signal denoising method based on Surfacelet transform. Using Surfacelet transform and 3D context model for ground penetrating radar (GPR) analog signal to denoising, the noise in the case of low signal noise ratio (SNR) still can obtain a better result, and the simulations prove the effectiveness of the method.


2005 ◽  
Vol 4 (1) ◽  
pp. 31-38 ◽  
Author(s):  
Idesbald van den Bosch ◽  
Sébastien Lambot ◽  
Pascal Druyts ◽  
Isabelle Huynen ◽  
Marc Acheroy

2021 ◽  
Author(s):  
Anthony Alongi

<p>Chlorides from deicing salts attack the steel reinforcement in bridge decks which can ultimately cause delamination and deterioration of the concrete. For transportation agencies, the repair cost from these defects are estimated to exceed $5B per year in USA and make up between 50% - 85% of bridge maintenance budgets. While, the removal and replacement of chloride contaminated concrete is the most long-lasting and cost-effective remediation, few methods exist to determine chloride content in bridge decks. This research describes an entirely new method for determining chloride quantity in bridge decks using ground penetrating radar (GPR) technology and establishes and quantifies the relationship between chlorides in concrete (which cause corrosion of reinforcing steel and delamination of concrete) and the effect on GPR signal propagation. Specifically, it shows that there is a deterministic relationship between radar signal attenuation and the amount of chloride and moisture in bridge deck concrete, and that when moisture content is known it is possible to estimate chloride quantity based on signal loss or attenuation measurements. Our research also demonstrates the practical application of this concept by utilizing GPR along with limited coring (three or more core samples) and laboratory chloride measurements to produce an accurate and quantitative, spatial mapping of chlorides in bridge decks.</p>


Sign in / Sign up

Export Citation Format

Share Document