Ground Penetrating Radar: Data Analysis

This lecture covers the principles and data structure of Ground Penetrating Radar (GPR), focusing on the automated picking of reinforcement bars within GPR data using machine learning. The process involves layer picking with phase follower algorithms to define material boundaries, extracting coordinates of hyperbolas corresponding to rebars, and creating a corrosion risk map of concrete. The lecture also discusses feature detection using Convolutional Neural Networks (CNN) and the challenges faced in completing the picking process within a Region of Interest (ROI) using signal processing techniques like the Hough transform.