Automated Detection of Embankment Piping and Leakage Hazards Using UAV Visible Light Imagery: A Frequency-Enhanced Deep Learning Approach for Flood Risk Prevention

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Pubblicato in:	Remote Sensing vol. 17, no. 21 (2025), p. 3602-3638
Autore principale:	Liu, Jian
Altri autori:	Wang, Zhonggen, Li, Renzhi, Zhao Ruxin, Zhang Qianlin
Pubblicazione:	MDPI AG
Soggetti:	Feature extraction Warning systems Datasets Early warning systems Infrastructure Convolution Flood control Edge computing Computer applications Machine learning Efficiency Background noise Remote sensing Fourier transforms Decision making Leakage Computational efficiency Emergency communications systems Risk management Algorithms Embankments Accuracy Flood management Deep learning Inspection Parameter sensitivity Safety Environmental conditions Environmental risk Public safety Monitoring Floating point arithmetic Floods Cost effectiveness Infrared imaging Safety management Unmanned aerial vehicles Frequency domain analysis Computing costs Design Light
Accesso online:	Citation/Abstract Full Text + Graphics Full Text - PDF
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