Full waveform inversion is the most resolving seismic imaging method. Through a nonlinear data-fitting procedure of seismic waveforms, accurate and highly-resolved subsurface parameters models are derived. In the case of multi-component data, recorded through directional sensors, the data are often treated in uncorrelated manner. In fact, the correlation between the directional recordings could be exploited to complement the conventional approach or remedy against some of its short-comings. In this lecture, polarization-based approaches are presented and assessed against conventional multi-component FWI.
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