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Method for determining the number of effective singular values ​​for nasvd noise reduction of airborne gamma spectrum data

A determination method and technology of gamma energy spectrum, which is applied in the field of aviation gamma energy spectrum noise reduction, can solve the problems of difficult to guarantee noise reduction quality, systematic deviation of results, and heavy workload of repeated calculation, so as to avoid rework and repeated calculation, reduce Work intensity, the effect of shortening the processing time period

Active Publication Date: 2022-06-03
核工业航测遥感中心
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Problems solved by technology

[0012] The purpose of the present invention is to provide a method for determining the number of effective singular values ​​for NASVD noise reduction of aviation gamma energy spectrum data, so as to solve the problem of artificially judging the number of effective singular values ​​in the airborne gamma energy spectrum data NASVD noise reduction. Problems of systematic deviation, heavy workload of repeated calculation, and difficult to guarantee the quality of noise reduction

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  • Method for determining the number of effective singular values ​​for nasvd noise reduction of airborne gamma spectrum data
  • Method for determining the number of effective singular values ​​for nasvd noise reduction of airborne gamma spectrum data
  • Method for determining the number of effective singular values ​​for nasvd noise reduction of airborne gamma spectrum data

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Embodiment Construction

[0062] like figure 1 As shown, the present invention includes the following steps.

[0063] a. Read in the original airborne gamma energy spectrum data, and construct the input spectrum data matrix A.

[0064] b. Use the NASVD algorithm to calculate the input spectral line data matrix A to obtain the principal component matrix S and the amplitude matrix B. The column vectors of the principal component matrix S are the principal components in turn, and the principal components are arranged in descending order of the corresponding eigenvalues. .

[0065] c. Classify the principal components according to the first 1, the first 2, the first 3...the first n.

[0066] d. Reconstruct the first 1, the first 2, the first 3...the first n principal components respectively, and obtain the reconstructed spectral matrix A respectively 1 , A 2 , A 3 , …A n .

[0067] e. Calculate the correlation coefficient |r of two adjacent reconstructed spectral matrices in turn i |.

[0068] f. ...

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Abstract

The invention relates to a method for determining the number of effective singular values ​​for NASVD noise reduction of airborne gamma energy spectrum data. After constructing the input spectral line data matrix, the NASVD algorithm is used to obtain the principal component matrix and the amplitude matrix, and then the "sliding window method" is used to analyze the obtained spectrum. The line principal components are classified, and the spectral line reconstruction is performed on the classified spectral line principal components to obtain a series of reconstructed spectral lines. Then, the correlation between adjacent spectral lines in the series of reconstructed spectral lines is analyzed and calculated, and the serial correlation coefficient of the reconstructed spectral lines is obtained. The absolute value of the correlation coefficient is used as the judgment basis to determine the number of effective singular values. The present invention can quickly determine the number of effective singular values ​​in NASVD noise reduction of airborne gamma energy spectrum data through a simple and efficient method, improves the quality of noise reduction, shortens the processing time period, and avoids manual determination of effective singular values ​​by experience or recommended values The number of values ​​produces excessive noise reduction or systematic errors in the results, avoiding rework and repeated calculations, and reducing the operator's work intensity.

Description

technical field [0001] The invention relates to a noise reduction method for aviation γ energy spectrum, in particular to a method for determining the number of effective singular values ​​of aviation γ energy spectrum data NASVD noise reduction. Background technique [0002] Aerial gamma spectroscopy measurement is based on the difference in gamma ray energy of natural or artificial radionuclides, using an aerial gamma spectroscopy measurement system to determine the content and distribution of potassium, uranium, thorium and other radionuclides in surface rocks, soil and atmosphere. A method is an important technical means to carry out strategic mineral exploration, environmental radiation monitoring and evaluation, nuclear facility monitoring, and nuclear emergency aviation monitoring, and plays an important role in many application fields. In recent years, with the rapid growth of resources and environment for aerial measurement, new and higher requirements have been put...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F17/16
CPCY02T90/00
Inventor 张胜王强王永军王瑞军唐首普王虎王会波张春雷孟凡兴
Owner 核工业航测遥感中心
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