Extraction method of mineral spectrum absorption characteristic parameters

Abstract

The invention belongs to a parameter extraction method, and particularly discloses an extraction method of mineral spectrum absorption characteristic parameters. The method comprises the steps of measuring a mineral spectrum; carrying out noise treatment on the mineral spectrum by adopting an averaging method; carrying out interpolation on a mineral spectrum array according to the series of wavelet decomposition after noise treatment; carrying out discrete wavelet decomposition on a mineral spectrum signal; solving the normalized scale parameters of different mineral absorption troughs according to a first level of high frequency signal after wavelet decomposition; solving mineral spectrum absorption characteristic parameters according to different levels of wavelet high frequency signals. After the method is adopted, the obtained characteristic parameters are relatively accurate, and the mineral spectrum absorption characteristics are comprehensively described in a frequency domain; the obtained characteristic parameters are relatively accurate and are hardly influenced by the noise.

Description

technical field [0001] The invention relates to a parameter extraction method, in particular to a mineral absorption characteristic parameter extraction method. Background technique [0002] Mineral spectroscopy studies have shown that rock minerals containing metal cations, water, hydroxyl or carbonate anion groups have a series of diagnostic spectral absorption features in the visible-near-infrared spectral range, and different rock minerals have different spectral features. Studying the diagnostic spectral absorption characteristics of different minerals in visible light-near infrared can directly identify mineral types and mineral components, and quantitatively invert the relative content of surface features and their components. The spectral absorption characteristics of many minerals are often slightly different, so it is very important to use reasonable technical methods to accurately extract the diagnostic spectral absorption characteristics of minerals. [0003] Th...

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Problems solved by technology

However, this method does not consider the corresponding relationship between different spectral absorption scales of ground objects and wavelet decomposition high-frequency signal scales, and often uses high-frequency signals of the same level to solve mineral absorption characteristics of different scales, and does not make full use of the multi-resolution advantages of wavelet transform , the extraction accuracy of spectral characteristic parameters will be affected

At the same time, the traditional wavelet analysis ground object spectral feature extraction method only extracts the left and right boundaries and the central wavelength position of the mineral spectral feature, which is not comprehensive enough for the description of the spectral absorption feature, and is lacking in the quantitative analysis and research of rock mineral composition.

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