基于ASTER与Landsat8的遥感蚀变信息提取——以新疆西昆仑塔什库尔干地区老并铁矿区为例

Remoted-sensing mineralization information extracted based on ASTER and Landsat 8 Data: A case study on Laobing iron deposit in Taxkorgan area of western Kunlun,Xinjiang

应用ASTER与Landsat 8数据,选用主成分分析法提取新疆西昆仑塔什库尔干地区老并铁矿区的遥感蚀变异常信息,将两者提取的综合结果进行比较分析后,与研究区内已知磁铁矿体信息叠加,结果表明两者提取的蚀变异常信息的准确性与可靠性均较好,且ASTER能辅助Landsat 8细化并确定铁染蚀变异常信息,缩小找矿靶区。

Using the ASTER and Landsat 8 data,choosing the principal component analysis (PCA) methods,extracted mineralization information on Laobing Iron Deposit in Taxkorgan area of Western Kunlun,Xinjiang. Through comparison the extracted results of ASTER and Landsat 8 data,using the overlapping analysis with the known magnetite ore data,the paper shows that both of them have good accuracy and reliability on mineralization information extracting,and the ASTER data can refine the result of ferric-iron-oxide alteration anomalies extraction by Landsat 8,which could reduce the mine prospecting target area rapidly.