Advanced GPR algorithm for high-resolution detection and mapping of underground utility networks

This study explores the effectiveness of Artificial Intelligence (AI) algorithms in processing, analyzing, and identifying targets within Ground Penetrating Radar (GPR) data, specifically for utility detection. Traditional GPR data interpretation often requires extensive post-processing and expert analysis, making it time-consuming and sometimes prone to human error. The integration of AI offers a groundbreaking alternative, enhancing the speed and accuracy of data interpretation while minimizing the need for manual intervention.

Authors

Institutions

Publication Details

Published
2025-09-19
DOI
https://doi.org/10.1117/12.3069438
Primary Topic
Geophysical Methods and Applications
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Advanced GPR algorithm for high-resolution detection and mapping of underground utility networks

Michael Arvanitis
Geophysical Methods and Applications
article

Advanced GPR algorithm for high-resolution detection and mapping of underground utility networks

Michael Arvanitis
article en

Abstract

This study explores the effectiveness of Artificial Intelligence (AI) algorithms in processing, analyzing, and identifying targets within Ground Penetrating Radar (GPR) data, specifically for utility detection. Traditional GPR data interpretation often requires extensive post-processing and expert analysis, making it time-consuming and sometimes prone to human error. The integration of AI offers a groundbreaking alternative, enhancing the speed and accuracy of data interpretation while minimizing the need for manual intervention.

The American College of Greece (GR)
Openalex Percentile: Top 68%
Geophysical Methods and Applications
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.