基于双特征的短波红外星图识别算法  

A Short-Wave Infrared Star Map Recognition Algorithm Based on Double Features

作　　者：廖屹 张磊[1] LIAO Yi;ZHANG Lei(Changchun Institute of Optics,Fine Mechanics and Physics,Chinese Academy of Sciences,Changchun 130000,China;University of Chinese Academy of Sciences,Beijing 100000,China)

机构地区：[1]中国科学院长春光学精密机械与物理研究所,长春130000 [2]中国科学院大学,北京100000

出　　处：《电光与控制》2024年第6期56-61,共6页Electronics Optics & Control

基　　金：2020年吉林省预算内基本建设资金(创新能力建设)项目(2020C023-4)。

摘　　要：在短波红外波段进行昼夜测星有望实现近地空间全天时自动导航,其中,星图识别算法是实现全天时导航的关键技术之一。传统的三角形算法在导航星数增多的情况下,由于其匹配特征维度低,在识别时容易出现冗余匹配、误匹配的情况。针对这一问题,提出了一种基于双特征的短波红外星图识别算法,该算法选取三角形的面积与外切圆半径双高维特征作为匹配特征,通过构建面积特征的K矢量索引,应用K矢量查找法降低匹配识别的计算复杂度。此外,还提出一种优化的观测三角形的选择策略,减少了匹配过程中的计算量,提高算法的识别速度。实验表明,星点位置噪声低于2像素时,算法的平均识别率优于95%;伪星数未超过50%时,平均识别率可达87.6%;并通过实际观星试验验证了所提算法的可行性,与改进的三角形算法相比,该算法在识别速度、识别率以及抗噪声能力等方面都有明显优势。The nycterohemeral star survey in short-wave infrared band is expected to realize the all-time automatic navigation in near-earth space,in which the star map recognition algorithm is one of the key technologies for realizing the all-time navigation.The traditional triangle algorithm is prone to redundant matching and miss-matching in recognition due to its low dimension of matching features when the number of navigation stars increases.To address this problem,this paper proposes a dual-feature based shortwave infrared star map recognition algorithm,which selects dual high-dimensional features of triangle's area and tangent circle radius as matching features,and reduces the computational complexity of matching recognition by constructing a K-vector index of area features and applying K-vector lookup method.In addition,an optimized selection strategy of observation triangles is proposed to reduce the computation cost in the matching process and improve the recognition speed of the algorithm.The test shows that:1)The recognition rate is higher than 95%when the noise of star point position is less than 2 pixels;and 2)The recognition rate of the algorithm can reach 87.6%when the number of pseudo-stars does not exceed 50%.The feasibility of the proposed algorithm is verified by actual star observation test.Compared with the improved triangle algorithm,the algorithm has obvious advantages in the recognition speed,recognition rate and noise resistance capability.

关 键 词：短波红外 星敏感器 星图识别 三角形算法 K矢量查找 

分 类 号：TP391.4[自动化与计算机技术—计算机应用技术]