is a powerful algorithm to perform a least squares non-linear data-fitting optimization to estimate a high-resolution velocity model. The conventional FWI gradient, obtained by zero-lag cross-correlating both the source and residual wavefields, can be divided into three components (Alkhalifah, 2014;Wu & Alkhalifah, 2015;Xu et al., 2012;Yao et al., 2020): (a) the low-wavenumber components obtained from the direct, refracted, and diving waves, (b) the low-wavenumber (tomographic) components associated with reflections and (c) the high-wavenumber (migration) components associated with reflections. Because of the shallower penetration depth of the direct, refracted, and diving waves (relative to the reflected waves) and also because of the overlapping of their wavepaths in both the source and residual
A new technique for reconstructing the magnetic image of Mercury from satellite observation data is proposed. The technique is based on extracting from the general observational data only the part that is associated with magnetic field sources concentrated in Mercury’s crust. The extracted data are used to solve the inverse problem of reconstructing the near-surface magnetic image of Mercury. The results of processing real experimental data obtained via the MESSENGER interplanetary mission are presented.
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