Novel Star Map Identification Algorithm Using Improved Radial Features

doi:10.16182/j.issn1004731x.joss.19-0098

Abstract

Abstract: In order to improve the star map identification efficiency and insure the identification veracity, the radial feature is ameliorated by cyclic feature, and a new star map identification method based on the ameliorative radial feature matching is proposed. The star map data are processed according to quadrant order to establish the database of new radial feature. The radial feature matching between the observation stars in the matching star map and the reference star in the feature database is carried out in the order of circumferential quadrant. The star with the largest count in the star database is the final identification result. Experimental data analysis indicates that the identification accuracy of the proposed method is higher than that of traditional raster identification method under noise condition. This method can complete the recognition process through partial quadrant matching. The single star recognition efficiency improves about 30% compared with original radial feature recognition method.

Key words: star map identification, radial feature, cyclic feature, digital zenith camera

CLC Number:

V448.22

Zhao Junyang, Zhang Zhili, Liu Dianjian, Zhou Zhaofa, Chang Zhenjun. Novel Star Map Identification Algorithm Using Improved Radial Features[J]. Journal of System Simulation, 2019, 31(4): 601-607.

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