基于ASTER遥感数据的西藏多龙矿集区示矿信息的提取

Extraction of alteration mineral information using ASTER remote sensing data in Duolong area,Tibet, China

矿化蚀变信息的提取对圈定成矿区具有重要意义。近年来,运用多光谱遥感数据进行示矿信息提取得到了长足的发展。常用的示矿信息提取技术方法包括优化的主成分分析方法、比值算法、光谱角算法等。选取西藏改则县多龙地区为研究区,以区内多不杂斑岩型铜矿为典型的已知矿床,基于ASTER遥感数据,运用多种示矿信息提取方法进行靶区圈定综合研究,多种技术方法相互印证,避免了单一算法的局限性,为成矿靶区的圈定提供了更为准确的遥感依据。

Extraction of alteration mineral information plays an important role in prospecting of mineral deposit. Nowadays, using multi-spectral remote sensing data for extraction of alteration mineral information has been developing rapidly. The methods of extraction of alteration mineral information include optimal PCA （Principal Components Analysis）, band ratio, SAM （Spectral Angle Mapping）, etc. This paper has choosed Duolong area, Gaize, Tibet as the study area and Duobuza porphyry copper deposit as the typical deposits, and adopted several methods for extraction of alteration mineral based on ASTER remote sensing data, then the result of each method has been compared. It avoids the restriction of each method, and provides more accurate remote sensing evidence for detecting mineral deposit.