Ground-penetrating radar (GPR) data processing and visualisation: a free and open-source software package (R language)
This repository contains code to train object detection models like FRCNN/YOLO for identifying objects in Ground Penetrating Radar scans. It also contains code to generate fake data using Generative Adversarial Networks(GANs).
minimum working example for a B-scan migration with example data
An example of how to automate the process of training data generation through gprMax for use in machine learning models.
The code and dataset of paper *Multi-View Fusion and Distillation for Subgrade Distresses Detection based on 3D-GPR*
Python wrapper for RGPR (ground-penetrating radar visualisation & processing)
Research website
Collaborative Highway Asset Research: Integrated Sensor-Modeling Application (CHARISMA) is a collaborative platform collaborative analysis and visualization of NDE and other infrastructure data and for the fusion of sensor data with digital twin models.
Javascript reader of SEG 2 data
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