This paper proposes a probabilistic conic mixture model based on a classification expectation maximization algorithm and applies this algorithm to Ground Penetrating Radar (GPR) spatial data interpretation. Previous work tackling this problem using Hough transform or neural networks for identifying GPR hyperbolae are unsuitable for on-site applications owing to their computational demands and t...

In this article a new neural network based method for automatic classification of ground penetrating radar (GPR) traces is proposed. The presented approach is based on a new representation of GPR signals by polynomials approximation. The coefficients of the polynomial (the feature vector) are neural network inputs for automatic classification of a special kind of geologic structure—a sinkhole. ...

This paper provides a comparative study between microwave tomography and synthetic 14 time-reversal imaging techniques as applied to ground penetrating radar (GPR) surveys. The 15 comparison is carried out by processing experimental data collected at a controlled test site, with 16 various types of buried targets at given subsurface depths and representative soil conditions. It is 17 shown that...

A method for detecting buried mines in ground penetrating radar (GPR) data using a Hough transform approach is described. GPR is one of three sensors used in the Mine Hunter/Killer (MH/K) system for detecting buried mines. A buried mine modeled as a point scatterer in object space gives rise to a hyperbolic response in GPR measurement space. Our approach uses the Hough transform to recover the ...

Ground Penetrating Radar (GPR) is an effective and practical geophysical imaging tool, with a wide set of applications in geological mapping of subsurface information. This research study aims at determination of the geophysical parameter differences in the subsurface geological structures and construction of a 3D fracture model. GPR and resistivity methods were applied to detect the unstable t...

This paper provides a comparative study between microwave tomography and synthetic 14 time-reversal imaging techniques as applied to ground penetrating radar (GPR) surveys. The 15 comparison is carried out by processing experimental data collected at a controlled test site, with 16 various types of buried targets at given subsurface depths and representative soil conditions. It is 17 shown that...

In order to develop and evaluate a method for the determination of glacier volume from ice-thickness data, the volume of Schaufelferner, Austria, is calculated (1) by manual interpolation of ground-penetrating radar (GPR) data based on measurements at 36 locations in 1995, (2) by manual interpolation of 144 GPR measurements acquired for a higher-resolution estimate in 2003 and 2006, (3) by mult...

Ground penetrating radar (GPR) has gained a distinguished place during recent years as a tool for investigating subsurface objects, yet its output is of low resolution, and in need of further processing in order to make its output readily interpretable. Furthermore, GPR data collected in a typical survey is usually in large quantities, and dealing with such quantities manually to produce final ...

We present a ground penetrating radar (GPR) system, which uses an antenna array for in situ measurements of the thickness and dielectric permittivity of an asphalt pavement layer. We calibrated the antenna array by considering the antenna phase center and the antenna offset. The results of the laboratory measurements demonstrate that the proposed calibration method can greatly improve the accur...

■ Abstract Ground penetrating radar (GPR) is a near-surface geophysical technique that can provide high resolution images of the dielectric properties of the top few tens of meters of the earth. In applications in contaminant hydrology, radar data can be used to detect the presence of liquid organic contaminants, many of which have dielectric properties distinctly different from those of the ot...