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Titel:

Bedload transport analysis using image processing techniques.

Dokumenttyp:
Zeitschriftenaufsatz
Autor(en):
Ermilov, Alexander A.; Fleit, Gábor; Conevski, Slaven; Guerrero, Massimo; Baranya, Sándor; Rüther, Nils:
Abstract:
Bedload transport is an important factor to describe the hydromorphological processes of fluvial systems. However, conventional bedload sampling methods have large uncertainty, making it harder to understand this notoriously complex phenomenon. In this study, a novel, image-based approach, the Video-based Bedload Tracker (VBT), is implemented to quantify gravel bedload transport by combining two different techniques: Statistical Background Model and Large-Scale Particle Image Velocimetry. For te...     »
Stichworte:
Bedload transport; Image processing; Statistical Background Model; Large-Scale Particle Image Velocimetry; Video-based Bedload Tracker
Dewey Dezimalklassifikation:
620 Ingenieurwissenschaften
Zeitschriftentitel:
Acta Geophysica
Jahr:
2022
Band / Volume:
70
Monat:
May
Seitenangaben Beitrag:
2341–2360
Nachgewiesen in:
Scopus; Web of Science
Reviewed:
ja
Sprache:
en
Volltext / DOI:
doi:10.1007/s11600-022-00791-x
Verlag / Institution:
Springer
Verlagsort:
Cham, Switzerland
E-ISSN:
1895-7455
Impact Factor:
2.293 (2021)
Copyright Informationen:
Open Access. (CC BY 4.0) © The Author(s) 2022
Format:
Text
CC-Lizenz:
by, http://creativecommons.org/licenses/by/4.0
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