Results 1 to 10 of about 55,270 (261)
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
Gaussian decomposition method for full waveform data of LiDAR base on neural network [PDF]
Scientific ReportsThe full waveform data from airborne LiDAR (Light Detection and Ranging) provides information on the distance of the target. Accurately extracting the ranging information from the full waveform data is crucial for generating point clouds.
Jie Liu +4 more
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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
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Full Waveform Inversion and the Truncated Newton Method [PDF]
SIAM Journal of Scientific Computing, 2013 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Jean Virieux +2 more
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FWNet: Semantic Segmentation for Full-Waveform LiDAR Data Using Deep Learning [PDF]
Sensors, 2020 In the computer vision field, many 3D deep learning models that directly manage 3D point clouds (proposed after PointNet) have been published. Moreover, deep learning-based-techniques have demonstrated state-of-the-art performance for supervised learning
Takayuki Shinohara +2 more
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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
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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
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Analyzing the Impact of Different Filtering Methods on Satellite Altimetry Full Waveform Decomposition [PDF]
EPJ Web of Conferences, 2020 Filtering is an essential step in the denoising of satellite altimetry full waveform data, since any deformation and distortion in the shape of the waveform can cause errors in range estimation and further waveform decomposition will also be adversely ...
Zhang Zhijie +5 more
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Recent progress on full waveform inversion
地球与行星物理论评, 2023 Full waveform inversion is an acoustic/elastic/anelastic wave equation-based high accuracy seismic imaging method for studying the Earth's interior structure.
Hejun Zhu, Qinya Liu, Jidong Yang
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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
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