1.China University of Geosciences, Beijing 100083, China; 2.China Non-ferrous Metals Resource Geological Survey, Beijing 100814, China; 3.Guilin Research Institute of Geology for Mineral Resources, Guilin 541004, China
The spectral behavior of altered minerals leads to the spectral characteristics of altered rocks. Using the multivariate data analysis of typical rocks, the relation between the components of altered minerals and spectral data can be estimated qualitatively and quantitatively, and hence a model for extracting remote sensing information of mineralization and alteration can be established. Using the spectral data obtained in field and chemical analysis data of typical rock (ore) samples in a gold polymetallic mineralization belt in Qinghai, the authors studied the model for extraction of remote sensing information of mineralization and alteration on the basis of multivariate data analysis, and established a linear regression model of ratio combination, whose application effect is better than that of the single ratio method.
吴德文, 朱谷昌, 张远飞, 袁继明. 多元数据分析与遥感矿化蚀变信息提取模型[J]. 国土资源遥感, 2006, 18(1): 22-25.
WU De-Wen, ZHU Gu-Chang, ZHANG Yuan-Fei, YUAN Ji-Ming. THE MULTIVARIATE DATA ANALYSIS AND THE
MODEL FOR EXTRACTING REMOTE SENSING
MINERALIZATION AND ALTERATION INFORMATION. REMOTE SENSING FOR LAND & RESOURCES, 2006, 18(1): 22-25.