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
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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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