The simulation, or forward modeling, of ground penetrating radar (GPR) is becoming a more
frequently used approach to facilitate the interpretation of complex real GPR data, and as an …

Numerical modeling of ground penetrating radars (GPRs), such as the finite-difference time-
domain (FDTD) method, has been extensively used to enhance the interpretation of GPR …

A frequency-domain reverse-time migration (RTM) algorithm based on the layered medium
dyadic Green's function (DGF) is proposed for high-resolution and efficient subsurface …

A method for the estimation of rebar radius by post-processing the raw data acquired by the
ground penetrating radar as a B-scan radargram is proposed. Considering the hyperbola …

Applying georadar (GPR) technology for detecting underground utilities is an important
element of the comprehensive assessment of the location and ground infrastructure status …

We have developed an auto-picking algorithm that is designed to automatically detect
subsurface diffractors within ground-penetrating radar (GPR) data sets, to accurately track …

Microwave tomography has been exploited as a successful imaging technique for ground
penetrating radar (GPR) surveys. However, an “ideal” antenna model (ie, a filamentary …

The global metal detector market is predicted to grow to USD 2.74 billion by 2030, with a
compound annual growth rate (CAGR) of 7.66%, indicating potential expansion in the …

Principal component analysis is usually used for clutter suppression of ground penetrating
radar, but its performance is influenced by the selection of main components of target signal …

Effective diagnostics with ground penetrating radar (GPR) is strongly dependent on the
amount and quality of available data as well as on the efficiency of the adopted imaging …