Bright star coordinate difference matching method

A matching method and coordinate difference technology, applied in complex mathematical operations, astronomical navigation, navigation calculation tools, etc., can solve the problems of wrong measurement results, low triangular feature dimensions, and prone to mismatched quadrants, etc. The matching accuracy rate and the effect of increasing the number of successful matching stars

Active Publication Date: 2020-03-27
西安航光仪器厂
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  • Summary
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  • Description
  • Claims
  • Application Information

AI Technical Summary

Benefits of technology

This new technology helps improve calculations for astrophysicists who use triangular algorithms instead of regular methods while maintaining their precision level or increasing numbers of successful matches. It has several technical benefits that help them achieve better results with less time than previous techniques like those used earlier times.

Problems solved by technology

This patented technology allows astronomers to accurately measure their positions with high accuracy without relying solely on numerical calculations that require complex mathematical operations like trigonometry. However, current methods have limitations such as requiring large numbers of triangular shapes and slow convergence times caused by incorrect matches between neighboring stars.

Method used

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  • Bright star coordinate difference matching method

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Embodiment 1

[0028] The bright star coordinate difference matching method includes the following steps:

[0029] 1) Construct a reference triangle and an image triangle;

[0030] Sort the reference star points and the captured image star points from bright to dark, respectively select n reference star points and n image star points with higher brightness; construct a reference triangle with n reference star points, and use n images The star point constructs the image triangle; performs triangle matching calculation on the reference triangle and the image triangle;

[0031] 2) judging the number of successful matching after the reference triangle and the image triangle are calculated for triangle matching;

[0032] If the number of successful matching between the reference triangle and the image triangle is less than 1, it means that there is no successful matching between the reference triangle and the image triangle; then perform step 7);

[0033] If the number of successful matching be...

Embodiment 2

[0042] The bright star coordinate difference matching method includes the following steps.

[0043] 1) First, establish a benchmark reference star catalog according to the field of view, approximate position, and time of the device;

[0044] The Hipparcos and Tycho catalogs are published by the state. They are standardized star catalogs that contain star point information in 360° global orientation. The Hipparcos catalog contains about 120,000 stars, and the Tycho catalog contains 2 million stars. The number is huge, and the established benchmarks The reference star catalog is actually subdividing the above two star catalogs to extract the star points that can be photographed in the field of view of the device, reducing the number of stars and improving calculation efficiency.

[0045] 2) Calculation of reference star points and images

[0046] Calculate the reference star point coordinates (p, q); take the general star catalog (Hipparcos, Tycho or GAIA star catalog) as the b...

specific Embodiment

[0077] Taking a set of measurement data taken at 22:00 on July 20, 2018, a total of 16 star maps for calculation and comparison, the traditional triangle matching algorithm not only takes a relatively long time to match, but also the number of stars that are successfully matched is significantly less than the coordinate difference of bright stars matching algorithm. For example, if a set of 16 star maps are matched, the traditional triangle matching algorithm takes 61.86 seconds, and the bright star coordinate difference matching algorithm only takes 46.80 seconds; the first, second, third, and fourth star maps, the traditional triangle algorithm successfully matches 20, 18 stars, 20 stars, 20 stars, and the bright star coordinate difference algorithm successfully matches 26, 25, 29, 26 stars, the number is significantly more than the traditional three-pointed star algorithm.

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Abstract

The invention relates to the technical field of digital astronomical measurement, in particular to a calculation method for matching and identifying a shot sky fixed star imaging point and a referencestar catalogue star point. The bright star coordinate difference matching method comprises the following steps: constructing reference triangles and image triangles; judging the number of successfully matched reference triangles and image triangles after triangle matching calculation; extracting all effective bright stars and carrying out statistical sorting; converting a tangent plane coordinatesystem where the effective bright star is located into a CCD coordinate system to obtain a coordinate conversion coefficient; substituting all the coordinates of the fixed star points in the reference fixed star table into the similarity transformation model, solving the difference between the coordinates and the reference fixed star points in the reference fixed star table, and taking the imagefixed star points of which the difference values are smaller than 9 as the fixed star points which are successfully matched finally; wherein if the number of the successfully matched fixed star pointsis greater than 0, the matching succeeds. The bright star coordinate difference matching method provided by the invention can make an important contribution to astronomical measurement efficiency, reliability and measurement precision.

Description

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Claims

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Application Information

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Owner 西安航光仪器厂
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