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由于境外铁矿床位置偏远,现场研究困难,旨在探讨苏必利尔湖型铁矿的高光谱遥感蚀变信息提取方法,为境外找矿提供依据.鉴于传统蚀变信息提取方法的局限性,研究了在二维光谱特征空间中提取蚀变信息的方法.高光谱影像经主成分变换后,包含较多地物信息的两个主成分的二维光谱特征空间体现了各向异性的特点,不同地物的聚类常呈类似椭圆分布.在蚀变信息的聚类椭圆中圈定散点,并应用波谱特征拟合,将异常散点的平均光谱与美国地质调查局(United States Geological Survey,USGS)光谱库中的矿物光谱匹配,确定蚀变矿物类型.以苏必利尔湖型铁矿——巴西Aguas Claras铁矿区为例,提取了赤铁矿、绿泥石等蚀变矿物,结果表明矿物的类型和分布与该区地质概况吻合.
Due to the remote locations of the iron ore deposits in foreign countries, it is difficult to conduct field research to investigate the hyperspectral remote sensing alteration information extraction method of Lake Superior iron ore deposits and provide the basis for prospecting abroad. In view of the limitations of traditional alteration information extraction methods, A method of extracting alteration information in two-dimensional spectral feature space is proposed.After the principal component transformation, the two-dimensional spectral feature space of two principal components which contains more object information embodies anisotropy, Clusters of objects are often ellipsoid-like, and the scatter points are delineated in the clustered ellipses of the altered information and the spectral average of the anomalous scatter points is compared with the spectral characteristics of the United States Geological Survey (USGS ) Spectra of mineral spectra in the spectral library to determine the types of alteration minerals.Taking Lake Superior iron ore in the Aguas Claras iron mine in Brazil as an example, altered minerals such as hematite and chlorite were extracted and the results showed that minerals The type and distribution of the area consistent with the geological survey.