基于数字化天顶摄影仪的星图识别方法改进
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  • 英文篇名:Improvement of Star Identification Based on Digital Zenith Camera
  • 作者:周召发 ; 杨上 ; 刘先一 ; 李炬连
  • 英文作者: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;
  • 关键词:数字化天顶摄影仪 ; 星图识别 ; 数据拟合模型 ; 稳健加权总体最小二乘法
  • 英文关键词:digital zenith camera;;star identification;;data fitting model;;robust weighted total least square
  • 中文刊名:KXJS
  • 英文刊名:Science Technology and Engineering
  • 机构:火箭军工程大学兵器发射理论与技术国家重点学科实验室;
  • 出版日期:2019-03-08
  • 出版单位:科学技术与工程
  • 年:2019
  • 期:v.19;No.476
  • 语种:中文;
  • 页:KXJS201907006
  • 页数:6
  • CN:07
  • ISSN:11-4688/T
  • 分类号:35-40
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.
引文
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