State Key Laboratory of Internet of Things for Smart City and Department of Civil and Environmental Engineering, University of Macau, Macao SAR, People's Republic of China
Fucheng Lu
State Key Laboratory of Internet of Things for Smart City and Department of Civil and Environmental Engineering, University of Macau, Macao SAR, People's Republic of China
State Key Laboratory of Internet of Things for Smart City and Department of Civil and Environmental Engineering, University of Macau, Macao SAR, People's Republic of China
Taosheng Huang
State Key Laboratory of Internet of Things for Smart City and Department of Civil and Environmental Engineering, University of Macau, Macao SAR, People's Republic of China
State Key Laboratory of Internet of Things for Smart City and Department of Electromechanical Engineering, University of Macau, Macao SAR, People's Republic of China
State Key Laboratory of Internet of Things for Smart City and Department of Ocean Science and Technology, University of Macau, Macao SAR, People's Republic of China
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Total article views: 2,402 (including HTML, PDF, and XML)
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2,402
171
196
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PDF: 798
XML: 194
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BibTeX: 171
EndNote: 196
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Since the preprint corresponding to this journal article was posted outside of Copernicus Publications, the preprint-related metrics are limited to HTML views.
Total article views: 3,573 (including HTML, PDF, and XML)
Thereof 3,344 with geography defined
and 229 with unknown origin.
Total article views: 2,402 (including HTML, PDF, and XML)
Thereof 2,184 with geography defined
and 218 with unknown origin.
Total article views: 1,171 (including HTML, PDF, and XML)
Thereof 1,160 with geography defined
and 11 with unknown origin.
Harsh environments limit the use of drone, satellite, and simultaneous localization and mapping technology to obtain precise channel morphology data. We propose AscDAMs, which includes a deviation correction algorithm to reduce errors, a point cloud smoothing algorithm to diminish noise, and a cross-section extraction algorithm to quantitatively assess the morphology data. AscDAMs solves the problems and provides researchers with more reliable channel morphology data for further analysis.
Harsh environments limit the use of drone, satellite, and simultaneous localization and mapping...
