西藏多龙矿集区遥感异常提取与成矿预测

Extraction of Remote Sensing Anomaly and Metallogenic Prediction in Duolong Ore-Concentrated Area of Tibet

以西藏多龙斑岩型铜矿区为例,根据已知矿床,分别利用比值法和主成分分析法对ETM+和ASTER数据提取铁染与羟基异常信息,分析研究已知矿体遥感异常特征;通过波谱特征拟合的方法,对研究区进行波谱分类。利用两方面的成果来对多龙矿集区作成矿预测,划定远景成矿区,其中一级预测区6个,二级预测区12个。多种异常对比组合,能够发现更好的指示成矿线索的信息。

The information of mineralization and alteration can be extracted from the data of ETM ＋ and ASTER,studied by many researchers.In order to get the effective information of the porphyry copper deposit in Duolong,ratio method and principal component analysis are used to extract the abnormal information from the data of ETM ＋ and ASTER.In this way,abnormal features of a known orebody are well studied.Spectral classification of target area is researched by the method of spectral characteristics fitting.Based on both studies,metallogenic prediction of ore-concentrated area in Duolong is made,and the vision of metallogenic province is well delimited.All enriches remote sensing anomaly on the orebody.