Ground
penetrating radar(GPR) threedimensional imaging, known as Cscan imaging, often suffers from limited information dimensionality
and subjective image quality. In this study, the authors explore two critical
imaging parameters, the valid measurement threshold and information
transformation function, to formulate an optimization strategy for GPR Cscan imaging. Furthermore, the authors assess image quality using
structural similarity and peak signaltonoise ratio as evaluation metrics. To quantify the effectiveness of
different imaging parameters, a case study is conducted involving indoor
reinforced concrete walls and road surfaces. The experimental findings indicate
that, for typical urban GPR applications, an optimal measurement threshold of
70% coupled with the mean method as the transformation function provides the
best results. Moreover, an attribute imaging method that combines amplitude and
frequency is proposed to enhance the information within Cscan images. This integrated visualization approach accurately
portrays the geometric characteristics of target objects while reducing noise
interference in GPR Cscan imaging. These enhancements
are advantageous in minimizing human interpretation errors and enhancing the
overall reliability of Cscan interpretation.
ZHU Jiasong
,
LEI Zhanzhan
,
LUO Xianghuan
. ThreeDimensional Ground Penetrating Radar
Attribute Imaging and Information Visualization for
Urban Infrastructure[J]. Tunnel Construction, 2023
, 43(10)
: 1702
-1711
.
DOI: 10.3973/j.issn.2096-4498.2023.10.006
