Open AccessApplication of Synthetic Aperture Focusing Technique to visualize GPR data from reinforced concrete structures
Author(s) -
Kien Dinh,
Tung Thanh Pham,
Tat Thang Nguyen,
Hiep H. Vu
Publication year - 2020
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/869/5/052072
Subject(s) - ground penetrating radar , synthetic aperture radar , computer science , interpolation (computer graphics) , set (abstract data type) , data set , object (grammar) , raw data , artificial intelligence , geology , computer vision , remote sensing , algorithm , data mining , image (mathematics) , radar , telecommunications , programming language
Ground Penetrating Radar (GPR) has been proven to be the most effective technology for imaging and evaluating the condition of concrete structures. That said, this paper presents an algorithm to automatically visualize GPR data collected from reinforced concrete structures. Specifically, the algorithm is based on the synthetic aperture focusing technique (SAFT) and is executed with two GPR data sets collected in a perpendicular survey grid. In the first step, for each scan line in a data set, a B-scan is reconstructed from the corresponding raw data using the SAFT technique. In the second step, the linear interpolation is employed, for each data set, to generate missing information between B-scans and create a 3D image of the surveyed object. Finally, by retaining the maximum amplitude of each corresponding voxel in the two images obtained from the second step, a combined 3D model is created.