THE MULTIVARIATE DATA ANALYSIS AND THE<br />
MODEL  FOR EXTRACTING  REMOTE SENSING<br />
MINERALIZATION AND ALTERATION INFORMATION

doi:10.6046/gtzyyg.2006.01.05

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Abstract

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.

TP 79

Issue Date: 24 July 2009

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Cite this article:

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[J]. REMOTE SENSING FOR LAND & RESOURCES,2006, 18(1): 22-25.

URL:

https://www.gtzyyg.com/EN/10.6046/gtzyyg.2006.01.05 OR https://www.gtzyyg.com/EN/Y2006/V18/I1/22

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