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Segmented mineral spectral noise treatment method

A noise processing, segmented technology, applied in the field of hyperspectral remote sensing analysis, can solve the problem of not taking into account the characteristics and differences of noise, etc.

Inactive Publication Date: 2019-05-28
BEIJING RES INST OF URANIUM GEOLOGY
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Problems solved by technology

Therefore, the traditional wavelet analysis processes the spectral noise of altered minerals in the whole band, without considering the characteristics and differences of noise in different wavelength ranges, which has certain limitations.

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  • Segmented mineral spectral noise treatment method

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[0031] The present invention will be described in further detail below in conjunction with the accompanying drawings and embodiments.

[0032] like figure 1 As shown, it is a segmented mineral spectral noise processing method provided by the present invention, and the specific steps of the method are as follows:

[0033] Step (1) read in the mineral spectrum array X (350-2500).

[0034] The mineral spectral data measured by the ASD spectrometer in the field or indoors is read into a one-dimensional array, and the one-dimensional array is recorded as X(350-2500), where the spectral range measured by the ASD spectrometer is 350-2500 nanometers, and the spectral resolution is 1 Nano.

[0035] Step (2) segment the spectral array X (350-2500) read in the above step (1) into three one-dimensional arrays. This step consists of the following steps:

[0036] Step (2.1) Take the band range of 350-2100 nanometers as a one-dimensional array for the array X (350-2500), denoted as X 1 ...

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Abstract

The invention belongs to the technical field of hyperspectral remote sensing analysis, and particularly relates to a segmented mineral spectral noise treatment method. The method includes the steps that a mineral spectral array is read; the spectral array is segmented and divided into three one-dimensional arrays; one-dimensional discrete wavelet decomposition is carried out on the three arrays obtained after segmentation; the arrays obtained after one-dimensional discrete wavelet decomposition is subjected to wavelet reconstruction according to different high-frequency component levels; a newone-dimensional array is built, the array obtained after wavelet reconstruction is written into the new one-dimensional array, and segmented de-noising is carried out on the one-dimensional arrays; the array obtained after segmented de-noising is written into mineral spectral data, and segmented mineral spectral noise treatment is completed. The method can be used for pertinently reducing the influence of measurement errors of an instrument on the noise of certain wave band ranges, and the influence of de-noising treatment on the information loss in the wave band ranges with important information is reduced.

Description

technical field [0001] The invention belongs to the technical field of hyperspectral remote sensing analysis, and in particular relates to a segmented mineral spectral noise processing method. Background technique [0002] Due to the influence of random factors such as instruments, sample background, and various interferences in the process of spectral measurement, the spectral data of altered minerals measured by the ASD spectrometer inevitably contain noise. If not processed, it will affect the establishment of the calibration model quality and accuracy of prediction results for unknown samples. Through the denoising preprocessing of spectral data, the influence of noise can be reduced and the stability of the model can be improved. [0003] Commonly used denoising methods include smoothing, Fourier analysis, etc. The purpose of spectral smoothing is to eliminate high-frequency random errors. The basic idea is to take several points before and after the smoothing point f...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01N21/17G01N21/31G06F17/14G06F17/10
Inventor 李瀚波潘蔚余长发田青林
Owner BEIJING RES INST OF URANIUM GEOLOGY
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