Star identification algorithm based on equal-area circle and companion star pinch angle
In order to solve the problems of uneven distribution of companion stars during the construction of radial features and unstable feature values in the matching process with circular features in the traditional radial and circular feature recognition algorithms,a star identification algorithm combining equal-area circular division and companion star vector pinch angle was proposed.By choosing the dynamic radius,so that the area of circles under radial feature is equal,the probability of companion star falling on each circle was guaranteed to be equal,which effectively improves the recognition rate of radial matching process.For the redundant navigation stars after radial matching,the vector pinch features composed of companion stars were used for screening,while the one with the highest matching feature value was selected as the final identification result.The results of experimental simulation show that the success rate of star identification reaches 95%when the added position noise is 1 pixel;the recognition rate reaches 98%when the number of false stars is 2;compared with the traditional radial and circular recognition algorithms,the proposed method has obvious advantages in the recognition rate and recognition speed.
star identificationradial featurecyclic featurematching degree
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