Integration of Ground-Penetrating Radar and Artificial Intelligence for Soil Piping- A Review

Abstract

Soil piping, an insidious form of internal erosion within soil structures, presents substantial challenges in land stability and infrastructure integrity. Detecting and pre- emptively managing soil piping require robust and non- destructive methodologies to identify vulnerable areas. Ground- penetrating radar (GPR) has emerged as a valuable tool in this context, offering promising insights into subsurface conditions and potential erosion pathways. This paper presents an overview of recent advancements in the integration of artificial intelligence (AI) techniques with GPR data processing and interpretation. The recent speedy development of AI technologies (machine learning, deep learning, etc.) provides a great opportunity to develop reliable, accurate and time- effective processing solutions to advance most of the current and emerging Earth observation and remote sensing technologies. By combining the prowess of GPR's non-destructive subsurface imaging with the intelligence of AI-driven data interpretation, we can better understand the underlying complexities of different materials and develop more efficient, accurate, and reliable solutions for piping.