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
Viewed
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: 754 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
BibTeX
EndNote
638
84
32
754
24
30
HTML: 638
PDF: 84
XML: 32
Total: 754
BibTeX: 24
EndNote: 30
Views and downloads (calculated since 24 May 2024)
Cumulative views and downloads
(calculated since 24 May 2024)
Total article views: 571 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
BibTeX
EndNote
455
84
32
571
24
30
HTML: 455
PDF: 84
XML: 32
Total: 571
BibTeX: 24
EndNote: 30
Views and downloads (calculated since 13 Sep 2024)
Cumulative views and downloads
(calculated since 13 Sep 2024)
Total article views: 183 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
BibTeX
EndNote
183
0
0
183
0
0
HTML: 183
PDF: 0
XML: 0
Total: 183
BibTeX: 0
EndNote: 0
Views and downloads (calculated since 24 May 2024)
Cumulative views and downloads
(calculated since 24 May 2024)
Viewed (geographical distribution)
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: 754 (including HTML, PDF, and XML)
Thereof 721 with geography defined
and 33 with unknown origin.
Total article views: 571 (including HTML, PDF, and XML)
Thereof 542 with geography defined
and 29 with unknown origin.
Total article views: 183 (including HTML, PDF, and XML)
Thereof 179 with geography defined
and 4 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...