摘要
针对数字化天顶摄影仪的传统星图识别方法存在未考虑精调平状态下的小倾角,数据拟合模型参数解算不准确导致出现识别结果不准确的问题,对传统星图识别方法进行了改进。首先依据数字化天顶摄影仪的成像原理,构建了八参数数据拟合模型,消除了实际拍摄过程中小倾角带来的影响,提高了数据拟合的准确性;其次引入稳健估计原理,采用稳健加权总体最小二乘法解算模型的参数,抑制粗大误差对参数解的影响,更加彻底地剔除了粗差星。实验结果表明:改进后的星图识别方法可提高星图识别的准确性。
Star identification was improved to resolve the impact of small dip angle under precision leveling state,and to resolve the problem of inaccurate calculation of parameter. First,according to the imaging principle of digital zenith camera,a data fitting model of eight parameters was constructed. Secondly,according to the principle of robust estimation,the parameters of the model were solved through robust weighted total least squares. In this way,the effect of rough error on the parameter was suppressed and the gross star was eliminated more thoroughly.The experimental results show: the improved method can improve the accuracy of star identification.
作者
周召发
杨上
刘先一
李炬连
ZHOU Zhao-fa;YANG Shang;LIU Xian-yi;LI Ju-lian(State Key Discipline Laboratory of Armament Launch Theory and Technology,Rocket Force University of Engineering,Xi'an 710025,China)
出处
《科学技术与工程》
北大核心
2019年第7期30-35,共6页
Science Technology and Engineering
