5 August 2015 Quantitative analysis of alteration mineral content and characteristic spectra of Hyperion image at oil and gas microseepage area
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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.
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Na Liu, Na Liu, Xiaomei Chen, Xiaomei Chen, Qianqian Li, Qianqian Li, } "Quantitative analysis of alteration mineral content and characteristic spectra of Hyperion image at oil and gas microseepage area", 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; https://doi.org/10.1117/12.2193077
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