Implementaci\'on de un Filtro de Polarizaci\'on basado en la Descomposici\'on del Valor Singular (SVD)

Abstract

In this job we have introduced a filtered adaptive technique that allows highlighting selective seismic events according to its polarization. This technique consists in the implementation of a polarizing filter based on the Single Value Decomposition (SVD). The SVD have a great variety of application in the processing of signals and images, in this case a seismic reading is considered an image of the underground. With this technique, was achieved to make a reconstruction of the seismic image generated after the two first autoimages reproduce the polarization attributes (rectilinearity and planarity) of the moving particles, suppress the high frequency random sound, improve the signal-noise ratio and this way we were able to obtain a clear and coherent image of the associated seismic events to the primary energies of reflection.