用局部结构熵算法对实际地震数据进行了计算和分析,发现局部结构熵算法若取小的分析体,虽然结构物图像的高频信息分辨能力得到改善,但却丢失一些宏观较大范围的主要信息,为了克服这种缺陷,该文首次在计算结构熵中引入了位置惩罚判据,这样不仅可以通过调整参数得到所需的更加清晰的结构物图像,获取大尺度的结构和小尺度的细节信息,而且提高了运算速度,在很大程度上提高了图像的分辨率。 The local structure entropy algorithm is used to calculate and analyze the actual seismic data. It is found that if the local structure entropy algorithm takes a small analytic body, the high-frequency information resolution ability of the structure image is improved, but some macro- In order to overcome this shortcoming, this paper introduced the position penalty criterion for the first time in computational structure entropy, which not only can obtain the required structure images more clearly by adjusting the parameters, but also obtain the large-scale structure and small-scale details Information, but also improve the computing speed, to a large extent, improve the resolution of the image.