High accuracy star map identification results are the basis of astronomical positioning. The traditional triangle star identification algorithm has a higher redundancy and a poor robustness to noise. Considering the s...
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ISBN:
(纸本)9781628419009
High accuracy star map identification results are the basis of astronomical positioning. The traditional triangle star identification algorithm has a higher redundancy and a poor robustness to noise. Considering the specific requirements of the star map identification of the astronomical camera, in allusion to this default, proceeding with selection of guide stars, construction of guide star catalogue and realization of matching algorithm, a modified triangle algorithm based on traditional one is presented. With the proposed algorithm, the guide star is selected from astronomical durchmusterung. In order to speed up guide star indexing, the guide star catalogue is founded after dividing the sky using the overlapping rectangle method. The guide star sub-catalogue is constructed by the radius of guide triangle circumcircle and the two sides of guide triangle. The characteristic radius is used for indexing and sorted in an ascending order to improve the searching efficiency in the processing of star map identification. The matching scope of the angular distance is narrowed and the matching rate of angular distance is improved by the matching of the characteristics radius. If there exists redundancy, a normalized magnitude is used to eliminate it. Within the observing area of the real sky, the 1050 star maps continuously are calculated. The simulation results show that, the identification rate of this algorithm is greater than 97. 83% when the noise of position error is two pixels, and the average identification time is about 25. 07ms. Compared with the traditional triangle algorithm, this modified algorithm has a couple of advantages, including the smaller storage capacity of guide star catalogue, better robustness to position and magnitude error, higher rate of correcting star map identification and lower redundancy.
When the star positional error increases, the traditional triangle star identification algorithm has a higher redundancy and matching rate is slower. In order to overcome this problems, the implementation methods of t...
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ISBN:
(纸本)9781479900305
When the star positional error increases, the traditional triangle star identification algorithm has a higher redundancy and matching rate is slower. In order to overcome this problems, the implementation methods of triangle star pattern recognition algorithm is proposed. compared with such methods of other literature, this method has lower redundancy and faster matching. On the base of triangle star identification algorithm, a fourth measured star is used to decrease the number of redundancies. Finally, A verification identification is used to get one matching between observed star triangle and navigation star triangle when the positional noise is serious. Fly and numerous night sky experimental results show that the algorithm has higher rate of correct star pattern recognition, lower redundancy and faster matching, it is convenient for engineering application.
Putting forward a kind of star identification algorithm based on SOFM neural network. Firstly, using dynamic threshold selection algorithm what is based on supporting vector machine select guide stars to composite the...
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ISBN:
(纸本)9783037858646
Putting forward a kind of star identification algorithm based on SOFM neural network. Firstly, using dynamic threshold selection algorithm what is based on supporting vector machine select guide stars to composite the navigation star database, then a recognition system what contain multiple parallel SOFM subnets for star map recognition is designed. Simulated recognition results show that the SOFM network can extract complex feature recognition navigation star from the chart. Compared with the traditional triangle algorithm, this algorithm has better recognition accuracy, robustness and real-time.
The attitude of the spacecraft can be obtained with high accuracy by using star sensors. Its key technology is how to identify stellar maps. triangle algorithm is used most widely in the current Star Map Identificatio...
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The attitude of the spacecraft can be obtained with high accuracy by using star sensors. Its key technology is how to identify stellar maps. triangle algorithm is used most widely in the current Star Map Identification algorithms. In the field of physical geography modeling, Delaunay Triangulation Cutting algorithm has been widely used because of its important characteristic, the result of this Triangulation Cutting method is unique from a random set of points. This triangulation algorithm is first applied to identify star map for its particular character. In final, the proposed method is applied to simulation, the results show that compared with the current star map identification algorithms, the algorithm presented in this paper has the advantage of real-time properties and robustness. It needs a smaller database of guidance stars and matches more rapidly.
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