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ASTER数据矿化蚀变异常信息提取方法研究

     

摘要

With Xiyi mining area in Baoshan City, Yunnan Province, as a demonstration area, using the common mineral alteration spectra database provided by USGS and AUS based on ASTER remote sensing data, this paper divides the research area into high, medium and relatively undisturbed areas according to the interference information distribution, and in the relatively undisturbed area conducts the principal component analysis of iron ion, hydroxyl, carbonation and silicified quantitative extraction of alteration anomaly information. The method of ratio operation and principal component analysis is used to extract iron ion alteration anomaly information. In the high and moderate interference information distribution area, the identification accuracy of remote sensing mineralization alteration information is improved.%选取云南省保山市西邑矿区作为示范区,利用USGS和AUS常见矿物矿化蚀变光谱数据库,采用ASTER遥感数据,依据干扰信息分布状况将研究区划分为高度、中度和相对无干扰区,并在相对无干扰区开展了基于主成分分析的铁染、羟基、碳酸盐化及硅化蚀变异常信息的量化提取,在高度和中度干扰区采用比值运算和主成分分析提取铁染蚀变异常信息,提高了遥感矿化蚀变信息识别精度,方法示范效果好.

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