Bed Topography Inference from Velocity Field Using Deep Learning

Bed Topography Inference from Velocity Field Using Deep Learning

Measuring bathymetry has always been a major scientific and technological challenge. In this work, we used a deep learning technique for inferring bathymetry from the depth-averaged velocity field. The training of the neural network is based on 5742 laboratory data using a gravel-bed flume and recon...

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Bibliographic Details
Main Authors: Mehrdad Kiani-Oshtorjani, Christophe Ancey
Format: Article
Language:English
Published: MDPI AG 2023-11-01
Series:Water
Subjects:
bathymetry estimation
deep learning
U-net architecture
entropy-based models
inverse modeling
gravel-bed flume/river
Online Access:https://www.mdpi.com/2073-4441/15/23/4055

Internet

https://www.mdpi.com/2073-4441/15/23/4055

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