Image Processing Based on Statistical Phase Correlation Algorithm

The contribution of computer graphics in geophysics mainly embodies on the application of scientific computing visualization. In order to obtain the structural features and spatial distribution of various types of stratigraphic structure surface, it is necessary to carry out visual analysis on gigantic seismic data. However, the process of signal-noise separation requires enormous operations before structuring the energy function, that make the numerical realization of high accuracy velocity analysis method more complicated and time-consuming. In this paper, we proposed the statistical phase correlation based high resolution velocity spectrum numerical analyzing method. Then, we adopt computer graphics technology and Qt visual programming technology realized the algorithm and put it into practice. As can be known from the result, this method can bring more focused stack velocity spectrum with more economical computation cost, and the resolution is improved greatly.