摘要
光线投射到图象上,图象上的凹凸变化产生的光影可以刻画出图象的细节。图象上的凹凸变化可视为图象函数f(x,y)的非光滑性,即奇性。地震剖面作为一种图象,其上面的奇性集包含了丰富的地质信息,如薄层、断裂及各种复杂地质体的轮廓等。所以,照度变换可以作为这种奇性的检测手段。本文应用小波理论的多分辨逼近方法[2]、[3],并参照文献4、5的作法设计出多分辨的照度变换。文中给出的应用实例表明,该变换既可用于奇性检测,又可用于地震剖面的层序分析以及地震剖面的高分辨率处理。
When light illuminates an image, the light shadows resulting from the concavl-ties and convexlties of the image can describe details of the image. The concavities and convexities of the image can be considered as the unsmoothed property (i. e.oddness) of the lmage function f(x,y). Seismic section is a kind of image, and its oddness assemblage has rich geological informations relating to thin bed, fault, fig-ures of varlous geological bodies, and so on. As a result, we can say that illumi-nance transform can be taken as a means for detecting such oddness.We design a multi-resolution illuminance transform by combining multi-resolu-tion approximation of wavelet theory with the method described in reference 4, 5.The application example shows that the transform method can be applied to oddness detection, seismic stratigraphic sequence analysis and high-resolution seismic data processing.
出处
《石油地球物理勘探》
EI
CSCD
北大核心
1996年第6期771-777,共7页
Oil Geophysical Prospecting
基金
国家自然科学基金
中国科学院资助
中国石油天然气总公司资助
大庆石油管理局资助
关键词
分辨率
照度变换
地震剖面
地震勘探
地震数据
resolution, illuminance transform, oddness, detection, sequence stratigraphy, wavelet