基于最大似然属性和拉普拉斯金字塔的断面波增强方法建立

针对在绕射波和回转波的干扰下,断面波识别度较低的问题,本文结合最大似然属性方法和拉普拉斯金字塔算法,提出了一种有效提高断面波识别度的方法.首先通过最大似然属性对三维数据体进行扫描,并计算数据体采样点之间的相似性,以获得工区内精确断层的位置,进而利用拉普拉斯金字塔算法进行断面波能量增强,即在构造拉普拉斯金字塔的过程中加入...

Fault-surface wave enhancement technology based on maximum likelihood attributes and Laplace pyramid

This work attempts to solve the problem of low illuminance of fault surface wave imaging under the interference of diffracted waves and rotary waves. Combining the maximum likelihood attribute method and the Laplace pyramid algorithm, an effective method is proposed to enhance the fault surface waves illumination. First, the 3D data volume is scanned by the maximum likelihood attribute, and the similarity between the sampling points of the data volume is calculated to determine the precise fault location in the work area. Then the Laplace pyramid algorithm is used to enhance the fault surface wave illumination, that is, in the process of constructing the Laplace pyramid, a mapping function is added to enhance the sectional fault surface waves and improve the fault surface waves illumination. The application of this method to the actual work area proves that the method proposed in this paper is reasonable and feasible. It provides a basis for the subsequent determination of the fault location, fault distribution characteristics, and fault plane combination relationship, so as to better realize the precise interpretation of faults and the effective identification of fault systems.