Extraction of Alteration Anomaly Information by Feature-Based Principal Component Analysis from ASTER Data
Xie Minghui
Zhang Qi
Chen Shengbo
Li Yanqiu
Zha Fengli
Abstract：In order to extract the alteration anomaly information with multi-spectral remote sensing data,this paper improves the traditional principal component analysis is improved and the mineral alteration information of Xingcheng region of Liaoning using the method of the feature oriented principal component analysis is extracted,successfully for the alteration anomaly of the limonite (Fe3 + ),chlorite (Mg-OH group minerals)and kaolinite (Al-OH group minerals)based on the analysis of the charac-teristic curve of canopy spectral in VNIR-SWIR (visible and near IR-short wave-length IR)band of ASTER (advanced space-borne thermal emission and reflection radiometer)data about alteration mineral.Field practice and geological data of research ar-ea indicate that the method above can effectively extract the alteration information and identify the mainly mineral of research area,which can provide a certain basis for the metallogenic prediction.
Keywords：ASTERCrosta analysisalteration anomalyremote sensingXingcheng area
Publication Date：2015-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：5( 1381-1385 )