Leakage Detection in Subway Tunnels Using 3D Point Cloud Data: Integrating Intensity and Geometric Features with XGBoost Classifier

Leakage Detection in Subway Tunnels Using 3D Point Cloud Data: Integrating Intensity and Geometric Features with XGBoost Classifier

Detecting leakage using a point cloud acquired by mobile laser scanning (MLS) presents significant challenges, particularly from within three-dimensional space. These challenges primarily arise from the prevalence of noise in tunnel point clouds and the difficulty in accurately capturing the three-d...

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Bibliographic Details
Main Authors: Anyin Zhang, Junjun Huang, Zexin Sun, Juju Duan, Yuanai Zhang, Yueqian Shen
Format: Article
Language:English
Published: MDPI AG 2025-07-01
Series:Sensors
Subjects:
point cloud
leakage detection
intensity features
geometric features
XGBoost
Online Access:https://www.mdpi.com/1424-8220/25/14/4475
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