Research on Optimized Algorithm for Deep Learning Based Recognition of Sediment Particles in Turbulent Flow

Research on Optimized Algorithm for Deep Learning Based Recognition of Sediment Particles in Turbulent Flow

ObjectiveThe movement of sediment particles significantly affects riverbed evolution, establishing it as a central concern and ongoing challenge in fluvial dynamics research. Although image processing methods provide efficient means for acquiring and analyzing data on sediment transport characterist...

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Bibliographic Details
Main Authors: WANG Hao, YANG Feiqi, ZHANG Lei, WU Wei, XIE Haonan, ZHAO Lin
Format: Article
Language:English
Published: Editorial Department of Journal of Sichuan University (Engineering Science Edition) 2025-07-01
Series:工程科学与技术
Subjects:
bedload
grayscale subtraction
YOLOv5
particle motion trajectory
streaky structure
Online Access:http://jsuese.scu.edu.cn/thesisDetails#10.12454/j.jsuese.202300758
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