Analytic method for space debris material based on non-negative matrix factorization

A non-negative matrix decomposition, space debris technology, applied in the direction of testing moving boards, etc., can solve problems such as poor accuracy and inability to apply to deep space environments

Active Publication Date: 2015-09-23
ZHEJIANG UNIV OF TECH
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Problems solved by technology

[0010] In order to overcome the shortcomings of existing space debris material analysis methods that cannot be applied to deep space environments and have poor accuracy, the present invention provides a space debris material based on non-negative matrix decomposition that is effectively applicable to deep space environments and has better accuracy. Analytical method

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  • Analytic method for space debris material based on non-negative matrix factorization
  • Analytic method for space debris material based on non-negative matrix factorization
  • Analytic method for space debris material based on non-negative matrix factorization

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[0067] Example: A space debris material analysis method based on non-negative matrix factorization, the process is as follows:

[0068] (1). Data preprocessing, such as figure 2 Shown:

[0069] (2). Collection of spectra of ground materials, namely aluminum (Aluminum), polyester film (Mylar), solar panels (Solar Cell), and white paint (White paint). image 3 , and its wavelength range is [403--779] nanometers.

[0070] (3).Material spectrum mixing

[0071] Mix 'Aluminum' and 'Mylar' in a certain proportion, add 1% Gaussian noise, take the mixing number 100, and get the mixed spectrum see Figure 4 As shown, the abundance plots of both are shown in Figure 5 .

[0072] (4).NMF decomposition

[0073] For material composition estimated by NMF see Figure 6 .

[0074] (5). Composed of least non-negative square calculation materials, the estimated error is given by Figure 7 express. Among them, the average relative error of the abundance of Aluminum is 3.4556%, and the ...

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Abstract

An analytic method for a space debris material based on non-negative matrix factorization is disclosed. The analytic method comprises the following steps: step 1, collecting debris spectroscopic data; step 2, pre-processing the debris spectroscopic data; (2.1), cutting off high-noise wave sections at two ends of spectrum; (2.2), thresholding; (2.3) removing exceptional points; step 3, non-negative matrix factorization: giving non-negative matrix V, finding non-negative matrix factors W and H, enabling V to be approximately equal to WH; for evaluating approximation performance, providing a cost function and corresponding iteration updating rules of the cost function, calculating generalized K_L degree of dispersion; step 4, recognizing debris material spectrum; by selecting different initialized W and H values to obtain candidates of the debris material spectrum, by using known ground material spectrum, calculating generalized K_L degree of dispersion of the candidate material spectrum and ground material spectrum by step 4, selecting threshold value D0 of the degree of dispersion, and finally determining the candidate spectrum less than the threshold value of the degree of dispersion as the composition of the debris material spectrum. The analytic method is effectively suitable for deep space environment and higher in accuracy.

Description

technical field [0001] The invention relates to the technical field of space monitoring implemented by manned spaceflight, in particular to a space debris material analysis method. Background technique [0002] Since the former Soviet Union launched the first artificial earth satellite in October 1957, decades of human space exploration activities have produced a large number of space debris, which poses a serious threat to the safety of human spaceflight activities and has become the main source of pollution of the space environment. To a certain extent, it has affected the normal development of space activities. [0003] With China's economic development and national security needs, there will be more and more space activities, and in the near future, the demand for satellite applications is likely to increase significantly. These application satellites are closely related to the national economy. Once damaged, the social and economic impacts will be huge, and even nation...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01N21/86
Inventor 庄德文唐轶峻秦珍珍
Owner ZHEJIANG UNIV OF TECH
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