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Interpolation Technique for the Underwater DEM Generated by an Unmanned Surface Vessel

Shiwei Qin, Zili Dai*

Department of Civil Engineering, Shanghai University, Shanghai, 200444, China

* Corresponding Author: Zili Dai. Email: email

(This article belongs to this Special Issue: Advanced Computational Models for Decision-Making of Complex Systems in Engineering)

Computer Modeling in Engineering & Sciences 2023, 136(3), 3157-3172. https://doi.org/10.32604/cmes.2023.026874

Abstract

High-resolution underwater digital elevation models (DEMs) are important for water and soil conservation, hydrological analysis, and river channel dredging. In this work, the underwater topography of the Panjing River in Shanghai, China, was measured by an unmanned surface vessel. Five different interpolation methods were used to generate the underwater DEM and their precision and applicability for different underwater landforms were analyzed through cross-validation. The results showed that there was a positive correlation between the interpolation error and the terrain surface roughness. The five interpolation methods were all appropriate for the survey area, but their accuracy varied with different surface roughness. Based on the analysis results, an integrated approach was proposed to automatically select the appropriate interpolation method according to the different surface roughness in the surveying area. This approach improved the overall interpolation precision. The suggested technique provides a reference for the selection of interpolation methods for underwater DEM data.

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Cite This Article

Qin, S., Dai, Z. (2023). Interpolation Technique for the Underwater DEM Generated by an Unmanned Surface Vessel. CMES-Computer Modeling in Engineering & Sciences, 136(3), 3157–3172.



cc This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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