  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.
