Intelligent detection of underground openings and surrounding disturbed zones

Intelligent detection of underground openings and surrounding disturbed zones

This study aims to develop an intelligent method to detect subsurface anomalies for prediction and mitigation of geologic risks. We trained a convolutional neural network (CNN) model using the seismic data from 6 field cases of regular pipes and irregular cavities and a sliding time window technique...

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Bibliographic Details
Main Authors: Meng, Wenzhao, Wu, Wei, Poh, Teoh Yaw, Lim, Zhu Liang
Other Authors: School of Civil and Environmental Engineering
Format: Journal Article
Language:English
Published: 2025
Subjects:
Engineering
Convolutional neural network
Data augmentation
Online Access:https://hdl.handle.net/10356/182702

Internet

https://hdl.handle.net/10356/182702

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