Non-destructive detection of highway hidden layer defects using a ground-penetrating radar and adaptive particle swarm support vector machine

Non-destructive detection of highway hidden layer defects using a ground-penetrating radar and adaptive particle swarm support vector machine

In this paper, a method that uses a ground-penetrating radar (GPR) and the adaptive particle swarm support vector machine (SVM) method is proposed for detecting and recognizing hidden layer defects in highways. Three common road features, namely cracks, voids, and subsidence, were collected using gr...

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Bibliographic Details
Main Authors: Xinyu Liu, Peiwen Hao, Aihui Wang, Liangqi Zhang, Bo Gu, Xinyan Lu
Format: Article
Language:English
Published: PeerJ Inc. 2021-03-01
Series:PeerJ Computer Science
Subjects:
5 Ground penetrating radar (GPR)
Image segmentation
Feature extraction
Support vector machine (SVM)
Grid search method
Particle swarm optimization (PSO)
Online Access:https://peerj.com/articles/cs-417.pdf

Internet

https://peerj.com/articles/cs-417.pdf

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