A space debris classification method based on ultra-low dispersion spectral features

A technology of spectral features and classification methods, applied in the field of space debris classification, can solve the problems of inability to detect and analyze space debris, and the lack of an accurate analytical formula for debris, and achieve the effect of reliable results and good robustness.

Active Publication Date: 2017-08-01
菏泽建数智能科技有限公司
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Problems solved by technology

However, under ground-based (ground observatory) conditions, the spectrum obtained by the spectrometer is determined comprehensively by factors such as the composition of the debris material, the solar spectrum, the absorption spectrum of the Earth's atmosphere, and the noise generated during the measurement process. Therefore, there is no accurate way to infer the type of debris from the spectrum. Analytical, and the above existing technologies are all off-line measurements, unable to detect and analyze space debris online in real time

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  • A space debris classification method based on ultra-low dispersion spectral features
  • A space debris classification method based on ultra-low dispersion spectral features
  • A space debris classification method based on ultra-low dispersion spectral features

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[0035] In order to describe the present invention more specifically, the technical solutions of the present invention will be described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0036] Such as figure 1 As shown, a space debris classification method based on ultra-low dispersion spectral features includes the following steps:

[0037] (1) Using a spectrometer to collect multiple spectral feature vectors corresponding to multiple fragment samples, the specific process is as follows:

[0038] 1.1 Use bright stars to correct the pointing of the telescope system before observation; select a bright star for pointing correction, when the bright star is in the center of the field of view of the telescope system, it means that the telescope system has already done pointing correction;

[0039] 1.2 Set the parameters of the CCD control software; parameters include exposure time, data readout speed, etc.;

[0040] 1.3 Take dark field and ...

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Abstract

The present invention discloses a spatial fragmentation method based on ultra -low -color scattered spectral characteristics. This method is based on mode recognition theory and uses support vector machine (SVM) classification method to determine the fragments.After training the classification model, you can make real -time fragments for the obtained spectral data; in addition, the SVM classifier has good robustness, making the fragments classification results more reliable.

Description

technical field [0001] The invention belongs to the technical field of aerospace observation, and in particular relates to a method for classifying space debris based on ultra-low dispersion spectral features. Background technique [0002] Space debris is the product of human spaceflight activities. Since the former Soviet Union launched the first man-made earth satellite in October 1957, decades of human space exploration activities have produced a large number of space debris; there are more than 28,000 officially cataloged trackable targets, and more than 9,600 are still in orbit. Among them, working satellites account for about 6%. Space debris has seriously threatened the safety of human spaceflight activities, and has become the main source of pollution of the space environment, and has affected the normal development of spaceflight activities to a certain extent. [0003] China is a big space country, and there will be more and more space activities in the future. A...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/62
CPCG06K2207/1012G06F18/2411
Inventor 庄德文唐轶峻秦珍珍
Owner 菏泽建数智能科技有限公司
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