We revisit geophysical diffraction tomography (GDT) and cast it into a stochastic framework, in which the geophysical formation to be imaged is modeled as a ...
Nonlinear tomographic reconstruction algorithms for inversion of data measured in scattering experiments in which the scattered wavefields are modeled by an ...
We revisit geophysical diffraction tomography (GDT) and cast it into a stochastic framework, in which the geophysical formation to be imaged is modeled as a ...
The reconstruction problem of diffraction tomography (DT) is cast in a stochastic framework, in which the sought after object function is a realization from ...
The method of stochastic tomography proposed by Wu is tested numerically. This method reconstructs the heterospectra (power spectra of heterogeneities) at ...
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The method of stochastic tomography proposed by Wu is tested numerically. This method reconstructs the heterospectra. (power spectra of heterogeneities) at ...
Diffraction tomography is the generalization of X-ray tomography to applications such as seismic exploration where diffraction effects must be taken into ...
Papoulis, A., 1965; Probability, random variables and stochak processes: McGraw-Hill. Geophysical Diffraction Tomography ... (a) Geophysical diffraction ...
Missing: Stochastic | Show results with:Stochastic
In addition, the JTACF contains much more information than the sum of TCF and ACF, and has much better noise resistance properties than TCF and ACF.
Thus, our imaging algorithm is related to the well established method of diffraction tomography (DT), which is used in various forms for such applications as ...