基于光谱特征空间的苏必利尔湖型铁矿高光谱遥感蚀变信息提取方法

黄爽; 陈圣波; 周超; 査逢丽; 路鹏; 黄唯实

doi:10.3799/dqkx.2015.113

Volume 40 Issue 8

Aug. 2015

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Article Navigation > Earth Science > 2015 > 40(8): 1325-1329

Huang Shuang, Chen Shengbo, Zhou Chao, Zha Fengli, Lu Peng, Huang Weishi, 2015. The Application of Spectral Characteristic Space Method to the Alteration Information Extraction of Lake Superior-Type Iron Deposit. Earth Science, 40(8): 1325-1329. doi: 10.3799/dqkx.2015.113

Citation:

Huang Shuang, Chen Shengbo, Zhou Chao, Zha Fengli, Lu Peng, Huang Weishi, 2015. The Application of Spectral Characteristic Space Method to the Alteration Information Extraction of Lake Superior-Type Iron Deposit. Earth Science, 40(8): 1325-1329. doi: 10.3799/dqkx.2015.113

Citation:

Huang Shuang, Chen Shengbo, Zhou Chao, Zha Fengli, Lu Peng, Huang Weishi, 2015. The Application of Spectral Characteristic Space Method to the Alteration Information Extraction of Lake Superior-Type Iron Deposit. Earth Science, 40(8): 1325-1329. doi: 10.3799/dqkx.2015.113

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The Application of Spectral Characteristic Space Method to the Alteration Information Extraction of Lake Superior-Type Iron Deposit

doi: 10.3799/dqkx.2015.113

1.
College of Geoexploration Science and Technology, Jilin University, Changchun 130026, China
2.
7th Battalion of the Geological Unit of Liaoning Province, Dandong 118000, China

Received Date: 2015-03-21
Publish Date: 2015-08-01

Abstract

Abstract

The field study of overseas iron ore deposits is difficult because of its remote location. The spectral characteristic was used to extract alteration information in view of the limitation of the traditional methods in this paper, aiming to explore alteration information extraction from hyperspectral images for the Lake Superior type iron ore to facilitate overseas prospecting. A two-dimensional spectral characteristic space takes on an anisotropic feature in associated distribution of two principal bands after principal component analysis. The distribution is usually combined by oval clusters. The scatter points were enclosed in oval clusters of alteration information, and the mean spectra of abnormal scatter points were matched with mineral spectra from United States Geological Survey(USGS) spectral library by means of spectral feature fitting to ensure the type of alteration minerals. Spectral characteristic space method was described with the instance of Lake Superior-type iron deposit—Aguas Claras iron area in Brazil. Hematite, chlorite and other minerals were extracted in this study. It is found that the type and distribution of extracted altered minerals were consistent well with geological condition.
- spectral characteristic space,
- alteration minerals,
- 2D scatter plot,
- remote sensing,
- Hyperion data

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References(19)

References

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The Application of Spectral Characteristic Space Method to the Alteration Information Extraction of Lake Superior-Type Iron Deposit

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