Ascertainment on abnormity component and classification on grades for alteration information extracted by principal component analysis from ETM data

Zhifang Zhao; Yujun Zhang; Jianping Chen; Qiuming Cheng

doi:10.1117/12.751230

15 November 2007 Ascertainment on abnormity component and classification on grades for alteration information extracted by principal component analysis from ETM data

Zhifang Zhao, Yujun Zhang, Jianping Chen, Qiuming Cheng

Author Affiliations +

Proceedings Volume 6787, MIPPR 2007: Multispectral Image Processing; 678726 (2007) https://doi.org/10.1117/12.751230
Event: International Symposium on Multispectral Image Processing and Pattern Recognition, 2007, Wuhan, China

Abstract

Many ETM (Enhanced Thematic Mapper) digital image processing methods such as ratio and principal component analysis (PCA) have been developed in exploration with spectral feature reflected in ETM data. Unfortunately, by our knowledge, there is no clear idea in ascertainment on abnormality component in PCA and no quantitative scale to classify abnormality for alteration. In this study, to improve exploration efficiency, the rules of ascertainment on abnormality component and classification on abnormality for alteration were established. PCA with ETM bands 1, 4, 5, 7 and ETM bands 1, 3, 4, 5 with interferential factors masked for OH^- alteration and Fe²⁺ and Fe³⁺ alteration respectively were conducted. Meanwhile, the rules for ascertainment on alteration abnormality by PCA for OH^- or Fe²⁺ and Fe³⁺ alteration were well established by the contribution of their diagnostic spectral bands. That is, the abnormity component of principal components (PCs) for OH^- alteration can be ascertained by obtaining positive contribution from ETM band 5 but negative from ETM band 7, while that of Fe²⁺ and Fe³⁺ alteration obtained positive contribution from ETM band 3 but negative from ETM bands 1, 4 and 5. Alteration grades were delineated by the standard deviation σ and average μof pixel value of abnormality component which coincides with probability density function. Accordingly, drill holes conducted in potential areas of alteration, a famous mineralization belt in China, Northwestern Yunnan, also reveals that alteration-related information extracted from ETM data is practical and effective in mineral application.

Citation Download Citation

Zhifang Zhao, Yujun Zhang, Jianping Chen, and Qiuming Cheng "Ascertainment on abnormity component and classification on grades for alteration information extracted by principal component analysis from ETM data", Proc. SPIE 6787, MIPPR 2007: Multispectral Image Processing, 678726 (15 November 2007); https://doi.org/10.1117/12.751230

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available