Results 11 to 20 of about 40,315 (288)
Multiscale full waveform inversion [PDF]
Geophysical Journal International, 2016 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 upper-mantle structure.
Capdeville, Yann +6 more
core +11 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
Accelerated Full Waveform Inversion by Deep Compressed Learning [PDF]
SensorsWe propose and test a method to reduce the dimensionality of Full Waveform Inversion (FWI) inputs as a computational cost mitigation approach. Given modern seismic acquisition systems, the data (as an input for FWI) required for an industrial-strength ...
Maayan Gelboim +2 more
doaj +2 more sources
Full-waveform inversion imaging of the human brain [PDF]
npj Digital Medicine, 2020 Magnetic resonance imaging and X-ray computed tomography provide the two principal methods available for imaging the brain at high spatial resolution, but these methods are not easily portable and cannot be applied safely to all patients.
Lluís Guasch +4 more
doaj +2 more sources
High-Precision Corrosion Detection via SH1 Guided Wave Based on Full Waveform Inversion [PDF]
Sensors, 2023 Corrosion detection for industrial settings is crucial for safe and efficient operations. Due to its high imaging resolution, the guided–wave full–waveform inversion tomography technique has significant potential for corrosion detection of plate metals ...
Jiawei Wen, Can Jiang, Hao Chen
doaj +2 more sources
Full-waveform inversion reveals diverse origins of lower mantle positive wave speed anomalies [PDF]
Scientific ReportsDetermining Earth’s structure is paramount to unravel its interior dynamics. Seismic tomography reveals positive wave speed anomalies throughout the mantle that spatially correlate with the expected locations of subducted slabs. This correlation has been
Thomas L. A. Schouten +6 more
doaj +2 more sources
An empirical study of large-scale data-driven full waveform inversion [PDF]
Scientific ReportsThis paper investigates the impact of big data on deep learning models to help solve the full waveform inversion (FWI) problem. While it is well known that big data can boost the performance of deep learning models in many tasks, its effectiveness has ...
Peng Jin +7 more
doaj +2 more sources
Adaptive waveform inversion: theory [PDF]
Geophysics, 2016 Conventional full-waveform seismic inversion attempts to find a model of the subsurface that is able to predict observed seismic waveforms exactly; it proceeds by minimizing the difference between the observed and predicted data directly, iterating in a ...
Guasch, L, Warner, M
core +3 more sources
Progressive plug and play full waveform inversion with multitask learning [PDF]
Scientific ReportsThe quality of low-frequency data and the initial model are crucial for robust seismic full waveform inversion (FWI). Some existing deep learning works only address one to improve the inversion accuracy.
Benwen Zhang, Linrong Wang
doaj +2 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