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Proceedings Paper

Quantitative analysis of alteration mineral content and characteristic spectra of Hyperion image at oil and gas microseepage area
Author(s): Na Liu; Xiaomei Chen; Qianqian Li
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Paper Abstract

With Sanhu region of Qaidam Basin as the test area and the mineral compositions and hyperspectral remote sensing images as test data, the present paper sets up the quantitative relationships between clay and carbonate of altered minerals caused by oil and gas microseepage and the characteristic parameters from hyperspectral remote sensing image. To get the quantitative relationships between these characteristic parameters and contents, the statistical regression method is used after the spectral characteristics extraction from Hyperion image. The research results show the contents of clay and carbonate have a high degree fitting with the depth of spectral absorption peak, while there are low correlations between other characteristic parameters and the contents. This conclusion provides references for using the hyperspectral remote sensing information to explore the oil and gas direct and lessening or even getting rid of the groundwork, and provides a statistical basis for inversing the surface mineral contents with the hyperspectral remote sensing image.

Paper Details

Date Published: 5 August 2015
PDF: 5 pages
Proc. SPIE 9622, 2015 International Conference on Optical Instruments and Technology: Optoelectronic Imaging and Processing Technology, 962212 (5 August 2015); doi: 10.1117/12.2193077
Show Author Affiliations
Na Liu, Beijing Institute of Technology (China)
Xiaomei Chen, Beijing Institute of Technology (China)
Qianqian Li, Beijing Institute of Technology (China)


Published in SPIE Proceedings Vol. 9622:
2015 International Conference on Optical Instruments and Technology: Optoelectronic Imaging and Processing Technology
Guangming Shi; Xuelong Li; Bormin Huang, Editor(s)

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