研究选择围岩蚀变复杂,种类丰富的甘肃鹰嘴山金矿,目的是建立该区硅化信息提取的定量遥感模型。通过对实测地物光谱数据、岩矿石化学组分分析、微量金分析结果等岩矿石多元数据的聚类分析、相关分析和因子分析,找到了提取硅化蚀变的最佳组合变量,并通过建立它们之间线性回归方程的方式,建立了该区硅化蚀变的定量遥感模型:S iO2=85.047TM5/TM7-4.348TM5/TM4 16.51TM5/TM3-41.866 R=0.703。以该模型为指导,对Landsat TM遥感影像数据进行增强处理,定量提取出了该区金矿化异常信息。经实际验证,其结果与实际情况吻合度好,可为与该区地质背景类似的阿尔金东段和北祁连西段早古生代海相火山岩地区的金矿普查与勘探提供参考依据。

Many goldmines in China and even around theworld are in close relationship to silicification, and themore\nsilicification, themoremineralization. Butgeological researches on silicification aboutalteration’s degree and scope only\nstand stilland keep qualitative fora long tmi e, and stillyetvery seldom quantitativeRemote SensingModelshave been set\nup. Therefore, we choose Yingzuishan goldmine which is complex and hasmany kinds ofwall rock alterations in the\nresearch area, ami ing to set up quantitative Remote SensingModel for silicification. By cluster analysis, correlation\nanalysis and factor analysis etc, and also by the use of in situ spectral survey data and the results of rock& minerals\ncomponentanalysis andmicroanalysis ofAu etc, finallywe found out the optmi al variable sets to extract the silicification\ninformation, and set up the Linear Regression Equation of them: SiO2= 85. 047TM5/TM7 - 4. 348TM5/TM4 +\n16·51TM5/TM3-41. 866　R=0·703, which just was the quantitative Remote Sensing Model for silicificaion we\nwanted. W ith the help of thismode,l we took an enhance ment treatment forRemote Sensing data ofLandsatTM and\nextracted outgoldmineralization abnormal information in this area. Through actualverification, the proved the resultshave\ngood correspondence to the actual condition. This model can also provide reference to geological investigation and\nprospecting for goldmines in those areawith the smi ilar geologic background asYingzuishan, such as in the eastofAltun\nmountain and thewestofNorthernQilianshanmountain, where early Paleozoic sea facies volcanic rocks spreadwidely.