基于独立分量分析的地球化学成矿元素组合提取与应用  

EXTRACTION OF GEOCHEMICAL MULTI-ELEMENT ASSOCIATIONS BASED ON ICA AND ITS APPLICATION

作　　者：王维[1] 周仲礼[1] 

机构地区：[1]成都理工大学数学地质四川省重点实验室,四川成都610059

出　　处：《物探化探计算技术》2012年第2期213-216,9,共4页Computing Techniques For Geophysical and Geochemical Exploration

基　　金：中国地质调查局项目资助(1212010916029)

摘　　要：化探数据具有非线性、随机性等特点,而传统地球化学元素组合异常的确定方法虽然考虑了变量的随机性,但却忽视了其非线性,这无疑会造成重要信息的丢失。而独立分量分析不仅要求各分量二阶不相关,同时还要求高阶统计量不相关。这使其在发掘数据间的高阶相关信息方面更具优势。这里以西藏某铜金矿1:10 000土壤化探数据为案例,对组合异常进行了分析与评价,尝试探索非线性理论在地球化学数据处理上的新方法。Geochemical survey data is non-linear and randomness.Although the traditional method of identifying geochemical element associations anomaly takes the randomness into account,it ignores the non-linear of original data.Obviously, it has to loose important information.Independent Component Analysis,however,not only requires second-order statistics of each component to satisfy Non-Gaussian distribution,but need to high-order statistics are non-correlation.It seems that this feature gives ICA a big advantage over the traditional one for digging high correlation information. This article will launch the analysis and evaluation of multi-element association anomaly by an area in Tibet 1:10,000 metrical soil data. Also,we attempt to explore new method of processing geochemical data based on non-linear theory.

关 键 词：地球化学 非线性 独立分量分析 

分 类 号：P632[天文地球—地质矿产勘探]