Underwater revetment damage detection based on multivariate cooperative bathymetry technology

Tao Yu; Jinsong Luo; Li Chen; Yu Xie; Xiaozhen Zhu; Yanqi Zhao

doi:10.1117/12.3052940

3 January 2025 Underwater revetment damage detection based on multivariate cooperative bathymetry technology

Tao Yu, Jinsong Luo, Li Chen, Yu Xie, Xiaozhen Zhu, Yanqi Zhao

Author Affiliations +

Proceedings Volume 13442, Fifth International Conference on Signal Processing and Computer Science (SPCS 2024); 134421Z (2025) https://doi.org/10.1117/12.3052940
Event: Fifth International Conference on Signal Processing and Computer Science (SPCS 2024), 2024, Kaifeng, China

Abstract

Inland waterway underwater revetment is easy to be damaged under the action of water current, ship traveling wave and other factors, in order to detect the damage development, the underwater revetment damage detection method based on multivariate coordinated bathymetry technology is proposed. The method firstly uses side scan sonar scanning to investigate the damaged area of underwater berm and construct two-dimensional image, then locates the damaged area through side scan sonar image interpretation, and finally combines the multibeam point cloud to construct the refinement model of the underwater berm area, extracts the elevation of the water bottom of the transverse section, and determines the depth of defective localized erosion. The method was analyzed in the case of underwater shoring of a navigation channel in Hangzhou, and two defective areas were detected in the target area. The results show that the coordinated use of multibeam precision bathymetry and side-scan sonar can clearly observe the morphological characteristics of underwater structures and obtain rich information on underwater topography, which can provide a powerful reference for the investigation and repair of structural defects of underwater shoring.

(2025) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Tao Yu, Jinsong Luo, Li Chen, Yu Xie, Xiaozhen Zhu, and Yanqi Zhao "Underwater revetment damage detection based on multivariate cooperative bathymetry technology", Proc. SPIE 13442, Fifth International Conference on Signal Processing and Computer Science (SPCS 2024), 134421Z (3 January 2025); https://doi.org/10.1117/12.3052940

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