A Material Analysis Method of Space Debris Based on Nonnegative Matrix Factorization

Abstract

A method for analyzing space debris materials based on non-negative matrix decomposition, comprising the following steps: Step 1, fragment spectral data collection; Step 2, spectral data preprocessing; (2.1) cut off high noise bands at both ends of the spectrum; (2.2) threshold Transformation: (2.3) exception point removal; step 3, non-negative matrix decomposition: given non-negative matrix V, find non-negative matrix factors W and H, so that V ≈ WH; in order to evaluate the approximate performance, give the cost function and its corresponding Iteratively update the rules to calculate the generalized K_L divergence: step 4, identification of debris material spectrum; by selecting different initial values ​​of W and H, the candidates of debris material spectrum are obtained, and the candidate material is calculated in step 4 by using the known ground material spectrum The generalized K_L divergence between the spectrum and the ground material spectrum, select the divergence threshold D0, and finally determine the candidate spectrum smaller than the divergence threshold as the composition of the debris material spectrum. The invention is effectively applicable to the deep space environment and has good 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...

AI Technical Summary

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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