基于Aster数据的矿化蚀变信息提取  

Extraction of Mineralized Alteration Anomalies Based Aster Remote Sensing Data

作　　者：李守麟 杨锋杰[1] 姜楠[1] 胡贵增[2] 丛顺明 

机构地区：[1]山东科技大学地球科学与工程学院,山东青岛266590 [2]山东黄金集团沂南金矿,山东沂南276300

出　　处：《山东科技大学学报（自然科学版）》2015年第1期16-21,共6页Journal of Shandong University of Science and Technology(Natural Science)

基　　金：高等学校博士学科点专项科研基金(博导类)项目(20113718110007)

摘　　要：以山东省沂南县北部的铜井-金场矿区为例,利用遥感技术提取矿化蚀变异常信息,采用Aster影像数据,首先通过掩膜的方法去除植被影响,运用主成分分析方法提取铁染及羟基异常信息,并对提取结果进行异常分级,通过对已知矿床与蚀变异常之间关系分析,发现二者之间吻合度较好。然后通过对矿区内已知矿床成矿作用的分析,重点观察已知矿区的外围地段,成功圈定2处成矿靶区。通过实例证明,利用Aster数据进行主成分分析提取矿化蚀变异常信息结果可靠,可以为类似植被覆盖度较大地区找矿预测及评价工作提供参考。The research was made on extracting mineralized alteration anomalies through remote sensing technology and Aster image with Tongjing-Jinchang mine for illustration. Mask method was used to remove the affection of vege- tation. In view of the spectrum characteristics of the hydrothermal aheration minerals,Principle Component Analysis was done by using four Aster bands as input bands to extract the iron staining and hydroxyl exception information, then take the result to anomalies classification. Through analysis of the relationship between the known deposits and anomaly alteration, the agreement degree between the two was found to be high. Two prospecting target areas were delimited with analysis of the known mineralization of the deposit and ore district surroundings. This study offers reference to predication and evaluation for prospecting in larger vegetation coverage areas.

关 键 词：ASTER 矿化蚀变异常 遥感 主成分分析 沂南金矿 

分 类 号：P627[天文地球—地质矿产勘探]