Paper
INVESTIGATION OF RELATIONSHIP BETWEEN WAVE CONDITIONS AND SHORELINE FLUCTUATION USING DEEP LEARNING
2021 Volume 77 Issue 2 Pages I_667-I_672
Details
2021 Volume 77 Issue 2 Pages I_667-I_672
The relationship between shoreline change obtained from a network camera in the Shichiri-mihama coast and wave conditions off Owase city was investigated using deep learning. Results showed that offshore wave energy flux is more related to shoreline change than wave runup especially for 90-day data. Furthermore, the generative adversarial network (GAN) reproduced the characteristics of images classified into each label and showed wave conditions in shoreline advance and retreat.
PROCEEDINGS OF COASTAL ENGINEERING, JSCE
PROCEEDINGS OF THE JAPANESE CONFERENCE ON COASTAL ENGINEERING
