Numerical tests on generalized diffraction tomography

Abstract

Summary The tomography inversion is a process of backpropagation plus filtering in the local w avenumber domain. The backpropagation is a double focusing process and the filtering is a deconvolution in the local wavenumber domain. The filter function is forward model dependent. Through the tests of data sets generated by both the Born approximation and by the finite-difference simulations for low frequencies, we see that the qualities of the local spectra have significant improvement in both coverage and uniformity in the local wavenumber domain. Through the test using a simple model, we see that the generalized diffraction tomography is valid even for strong-contrast media with velocity perturbations less than or around 10 percent with respect to the background velocity in the model.