Patent
Method for performing automatic seamless spectrum processing and wavelength calibration on space object
Fan Zhou,Jian-Feng Wang,Dawei Xu,Tang Yijun,Ge Liang,Jiang Xiaojun,Zou Weiping,Zhou Wan +7 more
- 06 Jan 2016
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TL;DR: In this paper, a method for performing automatic seamless spectrum processing and wavelength calibration on a space object is proposed, which consists of a step of performing classification and preprocessing on a spectrum image of the space object, a step preprocessing bias images and dark field images of two-dimensional spectrums of the object and a scaling lamp.
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Abstract: The invention relates to a method for performing automatic seamless spectrum processing and wavelength calibration on a space object. The method comprises the following steps: a step of performing classification and preprocessing on a spectrum image of the space object; a step of preprocessing bias images and dark field images of two-dimensional spectrums of the space object and a scaling lamp; a step of identifying, positioning and cutting the spectrum of the space object; a step of identifying and positioning the scaling lamp and then performing cutting; the step of performing tracing, rotation and spectrum drawing on the cut scaling lamp; the step of fitting a dispersion equation according to a known scaling lamp spectrum; a step of performing flat correction on the two-dimensional spectrum of the space object by use of a shot multiband flat field according to the dispersion equation; a step of performing tracing, rotation and spectrum drawing on the two-dimensional spectrum of the cut space object; a step of wavelength calibration; and a step of archiving and arranging all observation results.
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Citations
Patent
Optimized sparse algorithm-based two-dimensional model spectrum extraction method for multi-target optical fiber spectrums
Zhang Bo
- 26 Jun 2018
TL;DR: In this paper, an optimized sparse algorithm-based two-dimensional model spectrum extraction method for multi-target optical fiber spectrums is proposed, which comprises the following steps of: fitting the point extension function model according to features of a contour of a multidimensional optical fiber spectrum, establishing a spectrum extraction matrix and carrying out solution.
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