Results 51 to 60 of about 3,126,769 (201)

Chapter 5 Full waveform inversion [PDF]

open access: yes, 2020
In the geophysics of oil exploration and reservoir studies, the surface seismic method is the most commonly used method to obtain a subsurface model in 2 or 3 dimensions. This method plays an increasingly important role in soil investigations for geotechnical, hydrogeological and site characterization studies regarding seismic hazard issues.
openaire   +3 more sources

Well-conditioned asymptotic waveform evaluation for efficient computation of wave-scattering from perfectly conducting bodies [PDF]

open access: yes, 2007
This paper presents a model order reduction algorithm for the surface electric field integral equation (EFIE) formulation of the electromagnetic wave scattering problem.
Conor Brennan   +5 more
core   +2 more sources

Interferometric full-waveform inversion [PDF]

open access: yesGeophysics, 2018
ABSTRACT Velocity errors in the shallow part of the velocity model can lead to erroneous estimates of the full-waveform inversion (FWI) tomogram. If the location and topography of a reflector are known, then such a reflector can be used as a reference reflector to update the underlying velocity model. Reflections corresponding to this
Sinha, Mrinal, Schuster, Gerard T.
openaire   +2 more sources

Correcting Crown-Level Clumping Effect for Improving Leaf Area Index Retrieval From Large-Footprint LiDAR: A Study Based on the Simulated Waveform and GLAS Data

open access: yesIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021
The demand for leaf area index (LAI) retrieval from spaceborne full-waveform LiDAR increases due to its direct sampling of the three-dimensional forest structure at a near-global scale.
Hailan Jiang   +11 more
doaj   +1 more source

Predicting loss in magnetic steels under arbitrary induction waveform and with minor hysteresis loops [PDF]

open access: yes, 2004
We have studied ways of predicting power losses in soft magnetic laminations for generic time dependence of the periodic magnetic polarization J(t). We found that, whatever the frequency and the induction waveform, the loss behavior can be quantitatively
Fiorillo, F.   +3 more
core   +1 more source

Convolution Coding and Amplitude Attenuation-Based Full Waveform Inversion

open access: yesIEEE Access, 2020
Full waveform inversion (FWI) is a powerful method to reconstruct the properties of the subsurface media. However, the standard FWI is a non-unique and ill-posed inversion problem, which requires proper techniques to avoid cycle skipping phenomena ...
Shiqi Dong   +4 more
doaj   +1 more source

3D Bayesian Variational Full-Waveform Inversion

open access: yesGeophysical Journal International, 2023
Seismic full-waveform inversion (FWI) produces high resolution images of the subsurface by exploiting information in full acoustic, seismic or electromagnetic waveforms, and has been applied at global, regional and industrial spatial scales. FWI inverse problems are traditionally solved by using optimization, in which one seeks a best model by ...
Xin Zhang   +4 more
openaire   +3 more sources

Regional-scale full 3D hybrid waveform forward modeling

open access: yesEarth and Planetary Physics
Accurate three-dimensional (3D) velocity models are essential for fitting high-frequency seismic waveform records. This process usually requires regional-scale 3D numerical simulations that are computationally expensive, especially with sparse seismic ...
JingNan Sun   +3 more
doaj   +1 more source

Accuracy of a DTM derived from full-waveform laser scanning data under unstructured eucalypt forest: a case study [PDF]

open access: yes, 2010
A Digital Terrain Model (DTM) is fundamental for extracting several forest canopy structure metrics from data acquired with small-footprint airborne laser scanning (ALS).
Gomes Pereira, L., Gonçalves, G.
core  

Understanding and Ameliorating Non-Linear Phase and Amplitude Responses in AMCW Lidar [PDF]

open access: yes, 2011
Amplitude modulated continuous wave (AMCW) lidar systems commonly suffer from non-linear phase and amplitude responses due to a number of known factors such as aliasing and multipath inteference. In order to produce useful range and intensity information
Michael J. Cree   +5 more
core   +1 more source

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