Application of Deep Learning-based Interpolation Methods to Nearshore Bathymetry

no code implementations • 19 Nov 2020 • Yizhou Qian, Mojtaba Forghani, Jonghyun Harry Lee, Matthew Farthing, Tyler Hesser, Peter Kitanidis, Eric Darve

We propose a Deep Neural Network (DNN) to compute posterior estimates of the nearshore bathymetry, as well as a conditional Generative Adversarial Network (cGAN) that samples from the posterior distribution.

Generative Adversarial Network GPR +2