报告题目：Seismic Tomography, Image Segmentation and Deep Learning

报告人：杨旭 教授 美国加州大学圣巴巴拉分校

报告时间：2020-12-28  13:30-14:30

腾讯会议ID：433 148 073

报告入口：https://meeting.tencent.com/s/TWt97ZeRyGfc

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 UNetarchitecture. 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 is illustrated by comparing to the spectral element method. Moreover, the developed multi-scale algorithm can be also used to accelerate various standard applications in seismic tomography, including seismic traveltimetomography and full waveform inversion.