基于ASTER数据矿化蚀变信息提取的主成分特征向量组合模型研究——以内蒙古红旗山地区为例  

Study on the Eigenvector Combination Model of Mineralizing Alteration Information Extraction Based on the ASTER Data——Taking the Area of Hongqi Mountain in Inner Mongolia as an Example

作　　者：刘李[1] 向雅莉[1] 芦雪[1] 

机构地区：[1]中国地质大学土地科学技术学院,北京100083

出　　处：《现代地质》2010年第2期403-408,共6页Geoscience

基　　金：中国地质调查局项目(1212010510506);内蒙古自治区政府科研基金项目(05-6-YS2)

摘　　要：内蒙古额济纳旗红旗山地区矿产资源丰富,但地质勘查工作程度不深,且矿体分散,传统找矿方法难以展开,使用ASTER数据针对该地区进行矿化蚀变信息提取。在经典crosta方法基础上,针对该地区出现较多的铁染蚀变、高岭石+绢云母化和绿泥石化3组不同的蚀变矿物,使用相应特征向量组合模型的主成分分析法进行蚀变信息提取工作,圈定了蚀变异常靶区,与实际矿体和蚀变带有较好相关性,体现了ASTER数据在粘土矿化信息蚀变方面的优势,证明该方法在类似地区的遥感矿化蚀变信息提取工作中的可行性。The area of Hongqi Mountain in the Ejinaqi,Inner Mongolia,is abundant in mineral resources,but the work of mineral survey is still at a lower level,and the orebodies are scattered,which make the traditional methods of prospecting useless.In this study,ASTER（Advanced Space-borne Thermal Emission and Reflection） data is used to extract the information of the alteration of rocks and minerals.Based on the method of the crosta,the combination model with selected eigenvectors of PCA is effectively done to extract the alteration information of the iron mineralization,kaolinization＋sericitization and chloritization.The result is validated by the known mineralization spots.This study shows that ASTER data has better capability for recognition of clay mineral.It also proves the feasibility of this method used for mineral resources searching by remote sensing at such regions.

关 键 词：特征向量 矿化蚀变 主成分分析法 红旗山 内蒙古 

分 类 号：TP75[自动化与计算机技术—检测技术与自动化装置] P627[自动化与计算机技术—控制科学与工程]