Research on direction detection based on complex wavelet transform
Hao Li, Jianguo He · 2020
In seismic data processing, sometimes it is necessary to analyze the stratigraphic structure of a certain angle domain. The complex wavelet overcomes the shortcomings of the single wavelet, and has the characteristics of time-shift invariance, more directional information, and phase information. In this paper, the complex wavelet transform based on mapping is used to decompose the actual seismic data to obtain six directional components, and the stratum distribution characteristics in each direction are clearly described in the time scale domain.