【摘要】 为进一步提高恒星识别效率和准确性,本文结合环向特征对径向特征进行改进,提出了一种新的径向特征星图识别方法,按环向象限对星图数据进行处理,建立径向特征数据库;对待匹配星图中的观测星与特征星库中的参考星按环向象限顺序进行径向特征匹配,星库中与待识别星验证匹配计数值最大的恒星即为最终识别结果。实验数据分析表明,该方法噪声条件下的识别准确率高于传统栅格识别方法,且仅需通过部分象限的匹配即可完成识别过程,单颗恒星平均识别效率提高约30%。更多还原

【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.更多还原