DL-Aided Underground Cavity Morphology Recognition Based on 3D GPR Data

Cavity under urban roads has increasingly become a huge threat to traffic safety. This paper aims to study cavity morphology characteristics and proposes a deep learning (DL)-based morphology classification method using the 3D ground-penetrating radar (GPR) data. Fine-tuning technology in DL can be...

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Bibliographic Details
Main Authors: Feifei Hou, Xu Liu, Xinyu Fan, Ying Guo
Format: Article
Language:English
Published: MDPI AG 2022-08-01
Series:Mathematics
Subjects:
Online Access:https://www.mdpi.com/2227-7390/10/15/2806