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Deconvolution in the Fourier domain

Jacobs (1982) compares various imaging methods for shot-profile migration. He shows that the deconvolution imaging condition  
 \begin{displaymath}
{\bf r(\omega)}=\frac{ {\bf u(\omega)\overline{d}(\omega)}}{ {\bf d(\omega)\overline{d}(\omega)}+\varepsilon^2}\end{displaymath} (6)
is stable. The same imaging condition was used by Lee et al. (1991) in split-step migration.

Since we are only interested in the zero-time lag, the reflection strength can be computed as  
 \begin{displaymath}
{\bf r}(x,z,\tau =0)=\sum_{\omega}^{\omega_{Nyq}} {\bf r}(x,z,\omega).\end{displaymath} (7)
where $\omega_{Nyq}$ is the Nyquist frequency.

An advantage of working in the Fourier domain is that the problem does not need to be stated as an inversion problem.


next up previous print clean
Next: Deconvolution in the Fourier Up: Valenciano and Biondi: Deconvolution Previous: Deconvolution in the time
Stanford Exploration Project
11/11/2002