摘要
本文将数理统计方法应用于能谱资料的定量解释,建立了航空伽马能谱数据的统计分类系统。首先归纳了最优分割V_K法和动态聚类分析方法的特点,在此基础上定义了新的参数均匀度,并讨论了意义及作用。然后将V_K法、均匀度和动态聚类分析法综合在一起,构成了一个适合平面有序地质变量的统计分类系统。模型试验结果表明该系统具有较高的分辨能力,判错率仅有5％。应用该系统对柴达木盆地中部地区33000km^2的高灵敏度航空伽马能谱资料进行了处理,编制了1:20万推断岩性图,为该区确定找矿远景区以及为今后较大比例尺的区域地质填图提供了依据。
Statistical methods are used in quantitative interpretation of radiometric data and a classifying system for airborne radiometric data is developed in this paper. The classifying system is made up of three parts: V_K method, cluster analysis and a new parameter which is defined as degree of uniformity. The test shows that the system has high resolution and the error ratio is only 5％. With the help of this system, the radiometric data of Caidamu basin are interpreted and the inferential geological map is made up. Through research on the inferential geological map, the relations of distribution of radioactive elements to layers, lithology, structures and mineral deposits are summarized.
出处
《物探化探计算技术》
CAS
CSCD
1989年第4期277-284,共8页
Computing Techniques For Geophysical and Geochemical Exploration
