There usually exists significant correlation between such radioactive para-meters as K, U and Th in airborne gamma-ray spectrometric data, whichcovers up some useful information. Using principal component analysis, we canextract a few new variables uncorrelated to each otber from a number ofhighly correlated observed data, thus getting rid of this trouble.The interpretation of airborne gamma-ray spectrometric data by usingprincipal component analysis in the middle of CDM basin shows that thismethod can be used to help lithologic and structural mapping, recognize envi-ronments favorable for uranium and sylvite deposition, establish minerogenicmodels for these two types of deposit, and make minerogenic perspective pro-gnosis for them. It is hence conceivable that principal component analysis islikely to be a new potential technique in the interpretation of airborne gamma-ray spectrometric data.
出版日期: 1991-12-24
引用本文:
张文斌, 范正国. 主分量分析方法在航空伽玛能谱测量数据解释中的应用[J]. 物探与化探, 1991, 15(6): 423-430.
Zhang Wanbin, Fan Zhengguo. THE APPLICATION OF PRINCIPAL COMPONENTANALYSIS TO THE INTERPRETATION OF AIRBORNEGAMMA-RAY SPECTROMETRIC DATA. Geophysical and Geochemical Exploration, 1991, 15(6): 423-430.