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...

Full description

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