DMS Applied Mathematics Seminar

Speaker: Xu Yang (University of California at Santa Barbara)

Title: Seismic tomography, image segmentation, and deep learning

Abstract: Seismic tomography is a scientific field using realistic earthquake data to analyze the inner structure of our Earth. In this talk, we present a natural connection of three-dimensional seismic tomography to image segmentation problems, which we solve efficiently using deep neural networks with a UNet architecture. It is challenging to obtain sufficient valid data to train neural networks, and we overcome it by developing a fast synthetic data generator using multi-scale asymptotic analysis. The accuracy and parallelizability of the proposed algorithm are illustrated by comparing to the spectral element method. Moreover, the developed multi-scale algorithm can also be used to accelerate various standard applications in seismic tomography, including seismic traveltime tomography and full waveform inversion.

Join the Zoom meeting from PC, Mac, Linux, iOS or Android: https://auburn.zoom.us/j/93435983967