Results 11 to 20 of about 3,299,598 (299)
Transfer Learning Enhanced Full Waveform Inversion* [PDF]
2023 IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM), 2023 We propose a way to favorably employ neural networks in the field of non-destructive testing using Full Waveform Inversion (FWI). The presented methodology discretizes the unknown material distribution in the domain with a neural network within an adjoint optimization.
Stefan Kollmannsberger +2 more
openaire +5 more sources
Multiscale full waveform inversion [PDF]
Geophysical Journal International, 2013 We develop and apply a full waveform inversion method that incorporates seismic data on a wide range of spatio-temporal scales, thereby constraining the details of both crustal and uppermantle structure. This is intended to further our understanding of crust-mantle interactions that shape the nature of plate tectonics, and to be a step towards improved
Fichtner, A. +6 more
core +13 more sources
A synthetic study of acoustic full waveform inversion to improve seismic modelling of firn [PDF]
Annals of Glaciology, 2022 The density structure of firn has implications for hydrological and climate modelling and for ice shelf stability. The firn structure can be evaluated from depth models of seismic velocity, widely obtained with Herglotz-Wiechert inversion (HWI), an ...
Emma Pearce +7 more
doaj +2 more sources
Full waveform inversion for arterial viscoelasticity. [PDF]
Phys Med Biol, 2023 Abstract Objective . Arterial viscosity is emerging as an important biomarker, in addition to the widely used arterial elasticity. This paper presents an approach to estimate arterial viscoelasticity using shear wave elastography (SWE). Approach .
Roy T, Guddati MN.
europepmc +3 more sources
Variational full-waveform inversion [PDF]
Geophysical Journal International, 2020 SUMMARY Seismic full-waveform inversion (FWI) can produce high-resolution images of the Earth’s subsurface. Since full-waveform modelling is significantly nonlinear with respect to velocities, Monte Carlo methods have been used to assess image uncertainties.
Xin Zhang, Andrew Curtis
openaire +2 more sources
Randomized Source Sketching for Full Waveform Inversion [PDF]
IEEE Transactions on Geoscience and Remote Sensing, 2022 Partial differential equation (PDE) constrained optimization problems such as seismic full waveform inversion (FWI) frequently arise in the geoscience and related fields. For such problems, many observations are usually gathered by multiple sources, which form the right-hand-sides of the PDE constraint.
Kamal Aghazade +3 more
openaire +4 more sources
Seismic full waveform inversion in archaeological prospecting [PDF]
, 2023 Seismic full waveform inversion is introduced as novel high-resolution imaging tool in archaeological prospection. The full waveform inversion approach allows the high-resolution characterization of low-contrast sedimentary layers, high-contrast stone ...
De Nil, Denise +6 more
core +1 more source
Remote Sensing, 2021 Slope and roughness are basic geophysical properties of terrain surface, and also sources of error in satellite laser altimetry systems. The full-waveform satellite laser altimeter records the complete echo waveform backscattered from the target surface ...
Zhiqiang Zuo +5 more
doaj +1 more source
Remote Sensing, 2022 Ground-penetrating radar (GPR) crosshole tomography is widely applied to subsurface media images. However, the inadequacies of ray methods may limit the resolution of crosshole radar images, since the ray method is a type of high-frequency approximation.
Shengchao Wang +5 more
doaj +1 more source
Applied Sciences, 2023 The elastic full-waveform inversion (EFWI) method efficiently utilizes the amplitude, phase, and travel time information present in multi-component seismic recordings to create detailed parameter models of subsurface structures.
Qiyuan Qi +3 more
doaj +1 more source