The Workflow of Ground Penetrating Radar Data Analysis Based on Maximum Energy Difference Steering

Abstract

Ground Penetrating Radar is commonly used in civil engineering sectors. Underground anomalies (i.e., electric wires, water pipes or sinkholes) can be detected through representations of hyperbolae in the measured processed GPR image. Our work focuses on detecting the underground objects and understanding their metallic or nonmetallic characteristics. The max energy difference attribute is applied to illuminate their positions while phase analysis process can determine change of phase spectrum in the diffracted signals. For improving phase analysis, we applied a novel workflow combining conventional processed steps and a zooming step for preserving phase originality without disturbed by any unnecessary filters. We applied the workflow in model and real data for proving its effectiveness. Interpretation of two real datasets in Vietnam by our workflow can express existences of the artificial underground anomalies as well as their matter characteristics comparing to their surrounding environments.