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A Target Spectrum Matching Method

A spectral matching, target technology, applied in the field of target spectral matching

Active Publication Date: 2017-12-22
BEIJING RES INST OF URANIUM GEOLOGY
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The spectral similarity matching method ignores the fact that the spectral mean is an important feature of spectral data when calculating the spectral correlation coefficient, and the part whose value range is less than 0 has no practical significance from the perspective of determining the substance content

Method used

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  • A Target Spectrum Matching Method
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Embodiment Construction

[0025] The present invention comprises the following steps in turn:

[0026] The first step is to obtain the reference spectrum A={a 1 ,a 2 ,...,a n |a i ≥0,i∈1,...n} T , where a i is the spectral value of the reference spectrum A, n is the number of bands of the reference spectrum; the number of bands of the test spectrum B is the same as that of the reference spectrum;

[0027] The second step is to establish the vector C={c 1 ,c 2 ,...,c n |c i ≠0,c i =c 1 ,i∈1,……n} T , c i is a real constant value, preferably c i =1;

[0028] The third step is to construct the linear equation coefficient matrix M;

[0029] or

[0030]

[0031] The fourth step is to establish a linear equation system;

[0032] Mx=B;

[0033] The fifth step, using the least squares method to solve the linear equations, solve the linear equations;

[0034] x=(M T M) -1 m T B;

[0035] The solution corresponding to A is the content of the reference spectrum in the test spectrum B, o...

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Abstract

The present invention relates to a target spectrum matching method, comprising: 1. Obtaining a reference spectrum A={a1, a2,...,an|ai≥0, i∈1,...n}T, wherein ai is a reference spectrum The spectral value of spectrum A, n is the number of bands of the reference spectrum; the number of bands of the test spectrum B is the same as that of the reference spectrum; 2. Establish vector C={c1,c2,...,cn|ci≠0,ci =c1, i∈1,...n}T, ci is a real constant value; 3. Construct the linear equation coefficient matrix M; M = A C or M = C A ; Four, set up linear equations; Mx=B; Five, solve linear equations; x=(MTM)-1MTB; The solution corresponding to A is the content of the reference spectrum in the test spectrum B, or the similarity between the test spectrum and the reference spectrum degree; the solution corresponding to C is the noise mean and system fixed deviation contained in the test spectrum B. The calculation result of the present invention has no value range limitation, and the value varies linearly according to the content of the reference spectrum in the target spectrum. The present invention has stronger anti-noise performance, and the calculation result is not affected by Gaussian noise.

Description

technical field [0001] The invention relates to a target spectrum matching method, in particular to a target spectrum matching method with a higher value range and stronger anti-noise performance. Background technique [0002] Spectral matching refers to comparing a reference spectrum with a test (target) spectrum with the same number of bands and corresponding band wavelengths, and using a calculated value to represent the similarity or difference between the test spectrum and the reference spectrum. The larger the result value of the matching calculation, the greater the similarity between the test spectrum and the reference spectrum, and the smaller the difference. Spectral matching is often used to determine the size of the substance content corresponding to the reference spectrum contained in the target corresponding to the test spectrum. Commonly used spectral matching methods include spectral angle matching and spectral similarity matching. [0003] Spectral angle m...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/64
CPCG06F2218/00
Inventor 朱黎江
Owner BEIJING RES INST OF URANIUM GEOLOGY
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