Date of Award
Master of Science
Electrical and Computer Engineering
Dr. Ikhlas Abdel-Qadar
Dr. Liang Dong
Dr. Osama Abudayyeh
Dr. Sherif Yehia
Masters Thesis-Open Access
Ground Penetrating Radar is a valuable tool for infrastructure condition evaluation as well as in archaeology and geology. The image produced by a GPR scan can be difficult to interpret due to the weak reflection amplitude, the overlap of reflections, and due to outside interference. This thesis proposes an algorithm to automate GPR scan interpretation. This will enable maintenance engineers to read GPR scans quickly and accurately.
The proposed algorithm framework uses an optimization-based deconvolution technique followed by a segmentation process. Each column of the image is deconvoluted and thus reducing them to a list of ordered pairs of reflection amplitude and delay time. The ordered pairs appearing in multiple columns are grouped to form an arc and line objects using a via similarity measures. The algorithm was successfully tested using synthetic and real GPR data.
Krause, Vincent, "Deconvolution and Segmentation of Ground Penetrating Radar Images" (2007). Master's Theses. 4873.