The goal of this paper is to provide an overview of the current state of the art in seismic
tomography, and trace its origins from pioneering work in the early 1970s to its present …

Publisher Summary This chapter describes a variety of schemes for tracking the kinematic
evolution of high frequency seismic waves in heterogeneous 2-D and 3-D structures. Where …

The reversible jump algorithm is a statistical method for Bayesian inference with a variable
number of unknowns. Here, we apply this method to the seismic tomography problem. The …

地震S 波速度是防震减灾中场地分类, 强地面震动模拟建模等的重要参数.
地震背景噪声成像方法可以重建地下浅层三维结构以及探测浅层速度结构变化 …

The accurate prediction of seismic traveltimes is required in many areas of seismology,
including the processing of seismic reflection profiles, earthquake location, and seismic …

A meaningful interpretation of seismic measurements requires a rigorous quantification of
the uncertainty. In an inverse problem, the data noise determines how accurately …

Sensitivity analysis with synthetic models is widely used in seismic tomography as a means
for assessing the spatial resolution of solutions produced by, in most cases, linear or …

Seismic inversion aims to reconstruct a quantitative model of the Earth subsurface, by
solving an inverse problem based on seismic measurements. There are at least three …

A comprehensive validation of 2-D, frequency-domain, acoustic wave-equation tomography
was undertaken in a 'blind test', using third-party, realistic, elastic wave-equation data. The …

Deep learning is applied to assist the joint inversion for audio-magnetotelluric and seismic
travel time data. More specifically, deep residual convolutional neural networks (DRCNNs) …