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...
Main Authors: | Mehrdad Kiani-Oshtorjani, Christophe Ancey |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2023-11-01
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Series: | Water |
Subjects: | |
Online Access: | https://www.mdpi.com/2073-4441/15/23/4055 |
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