分块峰值点局部区域生长的星像提取

王海涌; 武文卿; 薛晓峰; 赵彦武

doi:10.3788/OPE.20122011.2507

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分块峰值点局部区域生长的星像提取

信息科学 | 更新时间：2020-08-12

- 分块峰值点局部区域生长的星像提取
- Star image extracting based on local region growing around peaks in blocks
- 光学精密工程 2012年20卷第11期页码：2507-2515
- 作者机构：
  
  1. 北京航空航天大学宇航学院,北京 100191
  2. 空军指挥学院战役系,北京 100097
- 作者简介：
- 基金信息：
  
  航空科学基金项目(No.2007ZC51027)()
- DOI：10.3788/OPE.20122011.2507
  中图分类号： TP391.4;V448.22
- 收稿日期：2012-06-20，
  
  修回日期：2012-08-04，
  
  纸质出版日期：2012-11-10
- 稿件说明：
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王海涌, 武文卿, 薛晓峰, 赵彦武. 分块峰值点局部区域生长的星像提取[J]. 光学精密工程, 2012,20(11): 2507-2515

WANG Hai-yong, WU Wen-qing, XUE Xiao-feng, ZHAO Yan-wu. Star image extracting based on local region growing around peaks in blocks[J]. Editorial Office of Optics and Precision Engineering, 2012,20(11): 2507-2515
王海涌, 武文卿, 薛晓峰, 赵彦武. 分块峰值点局部区域生长的星像提取[J]. 光学精密工程, 2012,20(11): 2507-2515 DOI： 10.3788/OPE.20122011.2507.

WANG Hai-yong, WU Wen-qing, XUE Xiao-feng, ZHAO Yan-wu. Star image extracting based on local region growing around peaks in blocks[J]. Editorial Office of Optics and Precision Engineering, 2012,20(11): 2507-2515 DOI： 10.3788/OPE.20122011.2507.

摘要

为了获得高精度、高更新率的抗噪声性能

对星敏感器星像提取环节进行了研究。首先

分析星图中星像灰度的分布特点

建立了判断某个像素是否与峰值像素归属同一星像的标准。然后

介绍了像元阵列分块方法和背景预测法。最后

结合星像的特点提出了以峰值点为种子点的区域生长准则。仿真实验结果表明

在不加噪声的情况下

提取出的星像与参考星图完全一致

用质心法得到的亚像素定位精度为0.028 2。在添加均值为20、标准差高达2.5的强高斯灰度噪声的情况下

提取率仍能达到86.11%

质心精度则下降到0.219 6 pixel。均匀性很差

信噪比低于4.9 dB的实拍星图实验结果也证明该方法有很强的星像提取能力和准确性

能够满足强噪声弱星像质心提取的强抗干扰能力的要求。

Abstract

To improve the precision

update rate and the anti-noise ability of star sensors

this study was focused on the extraction of star images. Firstly

the criterion to confirm whether a pixel attributes to the same star coverage with the local maximum pixel was established according to the gray distributing features of star images. Then

several kinds of methods for image extraction were introduced

such as the block division of imaging array

and the prediction of background noise. Finally

by regarding the peak value pixel as the origin of the circular region growing

the local region growing criterion was set up successfully based on the gray distributing features of star images. The simulation conducted in the case of no noises shows that all of the simulated star images in the reference star map can be extracted successfully

and the sub-pixel location accuracy is 0.028 2 pixel by using centroid method. Moreover

under upmost adverse condition with a Gaussian noise mean value of 20 and standard variance as high as 2.5

the success extraction rate can still reach 86.11% with a decreased centroiding accuracy of 0.219 6 pixel. The test about a faint star image in a star map with poor uniformity and a low SNR of 4.9 dB also proves the excellent detection ability of the proposed method

and it shows advantages of good real-time property and high correct extracting rate for star images.

关键词

Keywords

references

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