Home // International Journal On Advances in Software, volume 11, numbers 3 and 4, 2018 // View article

Compositing “Stand Off” Ground Penetrating Radar Scans of Differing Frequencies

Authors:
Roger Tilley
Hamid Sadjadpour
Farid Dowla

Keywords: Ground Penetrating Radar; Expectation Maximization; Gaussian Mixture Model; Maximum Likelihood parameter estimation; Finite Difference Time Domain Method, GprMax

Abstract:
Methods have been developed to combine signals of various frequencies in a manner to produce clearer images in the presence of noise. Ground Penetrating Radar (GPR) scans at various frequencies are no exception. Methods using an optimization problem solver, the Expectation-Maximization (EM) Algorithm, define weights used to perform the task of combining GPR scans. In this paper, we explore using the Gaussian Mixture Model (GMM) feature of the EM Algorithm on GPR scans taken at various heights above ground (“Stand Off” GPR). This method demonstrates the same measured improvement toward producing a cleaner image as GPR scans taken at ground level using the same EM Algorithm method.

Pages: 379 to 389

Copyright: Copyright (c) to authors, 2018. Used with permission.

Publication date: December 30, 2018

Published in: journal

ISSN: 1942-2628