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Least square fit based star magnitude calibration method

A technique of least squares and calibration method, applied in the field of calibration, which can solve problems such as poor accuracy

Active Publication Date: 2015-02-04
NORTHWESTERN POLYTECHNICAL UNIV
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Problems solved by technology

[0003] In order to overcome the deficiencies of the poor accuracy of existing star magnitude calibration methods, the present invention provides a star magnitude calibration method based on least squares fitting

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Embodiment Construction

[0017] The specific steps of the magnitude calibration method based on least square fitting in the present invention are as follows:

[0018] 1. Data grouping. The stellar magnitude value set m={m obtained based on the CCD observation image 1 ,m 2 ,...,m 200}, the grayscale sum of stars G={G 1 ,G 2 ,...,G 200} and the gray scale and G of the debris of the magnitude to be measured d , to classify the star calibration training set data and test set data. Among them, 200 is the number of stars in the image. First, sort the stars by magnitude to get the set m'={m' 1 ,m′ 2 ,...,m′ 200}, where m′ 1 >m′ 2 >,...,>m′ 200 , then the corresponding stellar grayscale and sequence set is G′={G′ 1 ,G′ 2 ,...,G′ 200}. Pick the odd bits as the model training parameters, and the even bits as the model testing parameters, that is, the set m′ x ={m' 1 ,m′ 3 ,...,m′ 199} and the set G′ x ={G' 1 ,G′ 3 ,...,G′ 199} is the magnitude calibration training parameter, the set m′ ...

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Abstract

The invention discloses a least square fit based star magnitude calibration method used for solving the technical problem of poor precision of an existing star magnitude calibration method. The technical scheme is to classify fixed stars on the basis that the star magnitude of the fixed stars and the grey of the fixed stars are known, select a training fixed star as a least square fit parameter, fit a relation function of the grey and the star magnitude of the fixed stars, then calculate the star magnitude of a tested fixed star by utilizing the trained relation function, compare the star magnitude of the tested star with the known star magnitude, calculate a calibrated error of the star magnitude of the fixed stars, test precision of a fitting model, and finally calculate the star magnitude of the to-be-tested star by using the function. As the least square fitting method is adopted for fitting the star magnitude and the grey value function, the error of the star magnitude calibration is enabled to be minimum, the star magnitude and the grey value in the calibration are ensured to in correspondence at any time, robustness of the fragment star magnitude calibration result is ensured, and precision of star magnitude calibration is improved.

Description

technical field [0001] The invention relates to a magnitude calibration method, in particular to a magnitude calibration method based on least square fitting. Background technique [0002] The document "Application of CCD in Satellite Magnitude Measurement, Semiconductor Optoelectronics, 2008, 29(3): 447-450" discloses a satellite magnitude calibration method based on CCD starry sky image. This method is based on the linear relationship between the gray value of the star on the CCD detector imaging image and the illuminance of the star, and uses the relative ratio relationship formula between the illuminance of the star and the star magnitude of the star to obtain the correspondence between the star magnitude and the star gray value Relational formula, using this relational formula, under the same detection conditions such as the same attenuation sheet and the same integration time, the magnitude is calculated from the gray value of the detection satellite. The gray value o...

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Application Information

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IPC IPC(8): G06T7/00
CPCG06F18/24147
Inventor 张艳宁孙文静李海森孙瑾秋
Owner NORTHWESTERN POLYTECHNICAL UNIV
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