Automatic faint star recognition method based on perimeter features

Abstract

The invention relates to an automatic faint star recognition method based on perimeter features. The method comprises the following steps that 1, a navigation star catalogue is constructed by adopting a magnitude threshold method according to a fundamental star catalogue, a whole celestial sphere is divided into a plurality of partial overlapped celestial areas by adopting an overlapping ball moment method, two brightest stars in each overlapped celestial area are found to serve as a main star pair, other stars construct a triangular perimeter feature library by serving as auxiliary stars, hash functions are constructed for the generated feature library according to the perimeter size, and fragmentation is conducted; 2, the navigation star catalogue and a navigation feature library are read, star atlas extracting results are sorted in a descending order according to the gray value size, the two brightest stars in each celestial area are taken as the main star pair, the other stars are taken as the auxiliary stars, an observation triangle taking each main star pair as a common side is constructed, and the perimeter of the triangles and the length of the two sides of each triangle taking the corresponding main star pair as the common side are calculated. According to the method, the number of the feature triangles is greatly decreased, and compared with a traditional triangle recognition algorithm based on an angular distance between the stars, the angular distance comparison frequency is decreased, and the recognition speed is increased.

Description

technical field [0001] The invention relates to an autonomous identification method for dark stars based on perimeter features, belonging to the field of astronomical navigation. Background technique [0002] The star sensor is currently known as the highest precision carrier attitude sensor. The star sensor solves the attitude of the vehicle by measuring the orientation of the star. Star pattern recognition is the key technology of star sensor, and its rapidity and robustness have always been important indicators for its evaluation. Typical star map recognition algorithms mainly include triangle and its improved algorithms (main star algorithm, pyramid algorithm, etc.) and grid algorithm. When the size of the star catalog is small, these algorithms have good robustness, but when the field of view (Filed of View, FOV) of the star sensor is small and the limit detection magnitude is high, the size of the star catalog will increase sharply. Limitations will appear, such as ...

AI Technical Summary

Problems solved by technology

[0004] The technical problem to be solved by the present invention is to provide an autonomous identification method for dark stars based on perimeter features in order to solve the problems of slow matching speed and many redundant matches in the identification of small field of view dark star patterns.

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