A deep-learning-based approach for seismic surface-wave dispersion inversion (SfNet) with application to the Chinese mainlandKey points

Surface-wave tomography is an important and widely used method for imaging the crust and upper mantle velocity structure of the Earth. In this study, we proposed a deep learning (DL) method based on convolutional neural network (CNN), named SfNet, to derive the vS model from the Rayleigh wave phase...

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Bibliographic Details
Main Authors: Feiyi Wang, Xiaodong Song, Mengkui Li
Format: Article
Language:English
Published: KeAi Communications Co., Ltd. 2023-04-01
Series:Earthquake Science
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S1674451923000125