2022 Volume 78 Issue 2 Pages I_811-I_816
A machine learning model for automatic discrimination and classification of gravel beach components was reconstructed. The classification characteristics and usefulness of machine learning were also examined using the reconstructed trained model. Furthermore, the spatial and temporal variation characteristics of the gravel beach components were investigated using the reconstructed model. The results showed that the reconstructed machine learning model was able to discriminate and classify gravel beach components from ortho-mosaic images.
