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

Abstract

Abstract:

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.

Key words: eigenvector, minerals alteration, principal component analysis(PCA)；Hongqi Mountain, Inner Mongolia

CLC Number:

TP75
P627

LIU Li, XIANG Ya-Li, LU Xue. 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[J]. Geoscience, 2010, 24(2): 403-408.

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