【摘要】 在详细解读辽宁弓长岭区Landsat 8影像数据的基础上,结合矿物光谱理论和弓长岭地区(地表植被覆盖严重)的基础地质资料,采用主成分分析法与比值法相结合的方式对该区2017-05和2017-08两个时段的Landsat 8多光谱遥感数据的蚀变异常信息进行了提取。结果表明:利用主成分分析法与比值法相互结合所形成的波段组合比单独运用主成分分析所提取的蚀变异常信息更加明显;此次研究中2017-05数据所提取出的羟基蚀变信息及2017-08数据所提取的铁染蚀变信息主要分布于弓长岭一矿区、二矿区、三矿区和独木—八盘岭矿区地表出露矿体的外围。这也说明将主成分分析法与比值法相结合对于植被覆盖严重区域的蚀变信息提取仍具有较好的效果。更多还原

【Abstract】 Based on a detailed interpretation of Landsat 8 remote sensing data of Gongchangling in Liaoning Province,combined with the theory of mineral spectrum and basic geological data in Gongchangling area(with serious vegetation cover),the alteration anomaly information in 2017-05 and 2017-08 was extracted by using the method of principal component and ratio analysis.The results show that the band combination formed by the method combination of principal component and ratio analyses is more obvious than the abnormal information extracted by principal component analysis alone.The information of hydroxyl alteration extracted from 2017-05 data and the iron dyeing alteration extracted from 2017-08 data are mainly distributed in the periphery of exposed orebodies in Gongchangling No.1,No.2,No.3 and Dumu-Bapanling mining areas.It is also shown that the combination of principal component analysis and ratio method is effective in extracting alteration information in the areas with serious vegetation cover.更多还原