Universal star centroiding with stepping variant weighting integration

LIU Tai-yang; WANG Shi-cheng; LIU Zhi-guo

doi:10.3788/OPE.20111910.2494

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Universal star centroiding with stepping variant weighting integration

Article | 更新时间：2020-08-12

- Universal star centroiding with stepping variant weighting integration
- Optics and Precision Engineering Vol. 19, Issue 10, Pages: 2494-2499(2011)
- 作者机构：
  
  1. 第二炮兵工程学院科研部,陕西西安,710025
  2. 第二炮兵工程学院 301教研室,陕西西安,710025
- 作者简介：
- 基金信息：
- DOI：10.3788/OPE.20111910.2494
  CLC： V448.22
- Received：15 November 2010，
  
  Revised：15 February 2011，
  
  Published Online：27 October 2011，
  
  Published：25 October 2011
- 稿件说明：
移动端阅览
刘太阳, 王仕成, 刘志国. 多步变权重复合的通用星点聚心[J]. 光学精密工程, 2011,19(10): 2494-2499

LIU Tai-yang, WANG Shi-cheng, LIU Zhi-guo. Universal star centroiding with stepping variant weighting integration[J]. Editorial Office of Optics and Precision Engineering, 2011,19(10): 2494-2499
刘太阳, 王仕成, 刘志国. 多步变权重复合的通用星点聚心[J]. 光学精密工程, 2011,19(10): 2494-2499 DOI： 10.3788/OPE.20111910.2494.

LIU Tai-yang, WANG Shi-cheng, LIU Zhi-guo. Universal star centroiding with stepping variant weighting integration[J]. Editorial Office of Optics and Precision Engineering, 2011,19(10): 2494-2499 DOI： 10.3788/OPE.20111910.2494.

摘要

为了解决星敏感器星点质心定位中对过曝光星象的聚心问题

提出一种通用的星象聚心算法。采用先对局部星象区域进行初步计算

进而通过整体复合实现对所有星象的质心定位。首先

结合实拍星图介绍了想象的过曝光星象存在及区域分布;在分析其分布特性的基础上检测各行/列的过曝光区域尺度

根据与尺度相关的规则对相应点的灰度值进行空间缩放;然后利用质心平方加权法对缩放后的点值进行计算

得出局域的初步结果;进而结合过曝光区域的尺度对相应初步计算结果分配权值因子;最后

对全部结果进行复合得到最终结果。实验结果表明

采用提出的算法在全随机模拟情况下

当随机噪声强度达到30 pixel时

对星象的聚心精度依然优于0.05 pixel

能够满足实际应用中对聚心算法的精度和适应的要求。

Abstract

In order to solve the centroiding problem of an over exposed star in star image processing

a universal centroiding algorithm was proposed with "first local calculation and then comprehensive integration". First

the existence of the over exposure stars was confirmed with real star images. Then

by analyzing the grey distribution of over exposed stars

the over-exposure scale of every row/column was detected according to the corresponding grey value and the square weighted mass centroiding was applied to calculation of primary local results. Finally

an over-exposure scale related to scaling scheme was used again to decide corresponding weights of local results and the final result was obtained after a last integration. The simulation results prove that in an all-random experiment mode the final centroiding accuracy has be better than 0.05 pixel even the random noise is 30 pixel. The proposed algorithm is validated to be competent and could satisfy the demand of the centroiding algorithm for the high-accuracy and good adaptability in real applications.

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references

Liebie C. C.Accuracy performance of star trackers – a tutorial.[J].IEEE Transactions on Aerospace and Electronic Systems,2002,38(2):587-599[2] 郑胜. 映射二乘向量机及其在天文导航中的应用[D].[J].华中科技大学博士论文., 2005,: 6-7;52-54-[3]王广君.null房建成. 一种星图识别的星体图像高精度内插算法[J]., 北京航空航天大学学报, vol.31, No.,2005,:-[4] 田金文，郑胜，田玉龙，柳建. 基于小面模型的星图中星获取算法研究[J]. 宇航学报，vol.26，2007:83-8[5]Mortari D, Romoli A.StarNavIII: a three fields of view star tracker[J].IEEE on Aerospace Conference Proceeding,2002,(1):47-57[6] 田金文，欧阳桦，郑胜，张钧. 一种星图中星的提取方法[J]. 华中科技大学学报，vol.33，No.4，2005:38-4[7]Rufino G, Accardo D.Enhancement of the centroiding algorithm for star tracker measure refinement[J].Acta Astronautica,2003,53(3):135-147[8]李季.null唐建博，天文导航中星体高精度细分定位方法研究[J].，光学与光电技术，vol.5, No.,2007,:-

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