Lightweight CNN model for automatic detection and depth estimation of subsurface voids using GPR B-scan data

Lightweight CNN model for automatic detection and depth estimation of subsurface voids using GPR B-scan data

Subsurface cavities pose significant risks, including structural instability, safety hazards, and environmental damage. Early detection of these cavities is crucial to prevent material losses and protect human lives. Investigation and manual processing of these structures using traditional methods c...

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Bibliographic Details
Main Authors: Abdelaziz Mojahid, Driss EL Ouai, Khalid EL Amraoui, Khalil EL-Hami, Hamou Aitbenamer, Jochem Verrelst, Pier Matteo Barone
Format: Article
Language:English
Published: KeAi Communications Co. Ltd. 2025-06-01
Series:Natural Hazards Research
Subjects:
Deep learning
Automatic detection
GPR
Machine learning
Cavities
Civil engineering
Online Access:http://www.sciencedirect.com/science/article/pii/S2666592125000149
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http://www.sciencedirect.com/science/article/pii/S2666592125000149

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