Articles | Volume 11, issue 6
https://doi.org/10.5194/esurf-11-1061-2023
https://doi.org/10.5194/esurf-11-1061-2023
Research article
 | 
01 Nov 2023
Research article |  | 01 Nov 2023

Automated riverbed composition analysis using deep learning on underwater images

Alexander A. Ermilov, Gergely Benkő, and Sándor Baranya

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Short summary
A novel, artificial-intelligence-based riverbed sediment analysis methodology is introduced that uses underwater images to identify the characteristic sediment classes. The main novelties of the procedure are as follows: underwater images are used, the method enables continuous mapping of the riverbed along the measurement vessel’s route contrary to conventional techniques, the method is cost-efficient, and the method works without scaling.