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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

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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.

Newport宣传-MKS新实验室计划
补充资料

中图分类号:V448.22;TP3914

DOI:10.3788/ope.20122011.2507

所属栏目:信息科学

基金项目:航空科学基金项目(No.2007ZC51027)

收稿日期:2012-06-20

修改稿日期:2012-08-04

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作者单位    点击查看

王海涌:北京航空航天大学 宇航学院,北京 100191
武文卿:北京航空航天大学 宇航学院,北京 100191
薛晓峰:空军指挥学院 战役系,北京 100097
赵彦武:北京航空航天大学 宇航学院,北京 100191

联系人作者:王海涌(why@buaa.edu.cn)

备注:王海涌(1969-),男,河北唐山人,讲师,2004年于北京航空航天大学获得博士学位,主要从事天体敏感器和天文导航方面的研究。

【1】魏新国,张广军,江洁. 星敏感器中星图图像的星体细分定位方法研究[J]. 北京航空航天大学学报, 2003(9): 812-815.
WEI X G, ZHANG G J, JIANG J. Subdivided locating method of star image for star sensor[J]. Journal of Beijing University of Aeronautics and Astronautics, 2003(9): 812-815. (in Chinese)

【2】MORTARI D, ROMOLI A. StarNav III: a three fields of view star tracker[C]. IEEE Aerospace Conference Proceedings 2002: 47-57.

【3】MORTARI D, BRUCCOLERI C, La ROSA S, et al.. CCD data processing improvements for star cameras[C]. International Conference on Dynamics and Control of Systems and Structures in Space 2002,KingCollege, Cambridge, England, 2002.

【4】LIEBE C C. Accuracy performance of star trackers-a tutorial[J]. IEEE Transactions on Aerospace and Electronic Systems, 2002, 38(2): 587-599.

【5】田金文,欧阳桦,郑胜,等. 一种星图中星的提取方法[J]. 华中科技大学学报:自然科学版, 2005(4): 38-40.
TIAN J W, OU Y H, ZHENG S, et al.. Method of star acquisition from star image[J]. J. Huazhong Univ. of Sci. & Tech. :Nature Science Edition, 2005(4): 38-40. (in Chinese)

【6】陆敬辉,王宏力,郑佳华,等. 一种改进的星图中星提取方法[J]. 传感器与微系统, 2008(6): 31-33.
LU J H, WANG H L, ZHENG J H, et al.. Improved approach to star extraction from star image[J]. Transducer and Microsystem Technologies, 2008(6): 31-33. (in Chinese)

【7】崔祥祥,王宏力,陆敬辉. 一种新的星图中星的提取方法[J]. 传感器与微系统, 2011(4): 17-18.
CUI X X, WANG H L, LU J H. A new method for star extraction from star image[J]. Transducer and Microsystem Technologies, 2011(4): 17-18. (in Chinese)

【8】王洪涛,罗长洲,王渝,等. 基于背景自适应预测的星点提取算法[J]. 光学技术, 2009(3): 412-414.
WANG H T, LUO C ZH, WANG Y, et al.. Algorithm for star extraction based on self-adaptive background prediction[J]. Optical Technique, 2009(3): 412-414. (in Chinese)

【9】李真真,魏宏刚. 亮背景下形态学星点目标提取算法[J]. 光电工程, 2011(12): 23-27.
LI Z Z, WEI H G. The algorithm of star extraction based on mathematical morphology in the bright-background[J]. Opto-Electronic Engineering, 2011(12): 23-27. (in Chinese)

【10】张辉,钟建勇,袁家虎,等. 电路噪声对星敏感器星点定位精度的影响[J]. 光学 精密工程, 2006,14(6): 1052-1056.
ZHANG H, ZHONG J Y, YUAN J H, et al.. Circuit noise effects on star sensor position accuracy[J]. Opt. Precision Eng., 2006,14(6): 1052-1056. (in Chinese)

【11】李学夔,郝志航,李杰,等. 星敏感器的星点定位方法研究[J]. 电子器件, 2004(4): 571-574.
LI X K, HAO Z H, LI J, et al.. The research on the method of the stars position determination of the star sensor[J]. Chinese Journal of Electron Devices, 2004(4): 571-574. (in Chinese)

【12】NEUMANN N, SAMAAN M, CONRADT M, et al.. Attitude determination for the SHEFEX 2 mission using a low cost star tracker[C]. American Institute of Aeronautics and Astronautics, 1801 Alexander Bell Dr., Suite 500 Reston VA 20191-4344 USA, 2009.

【13】王海涌,周文睿,赵彦武. 简易高斯灰度扩散模型的误差分析及适用性研究[J]. 光学学报, 2012, 32(7): 711002.
WANG H Y, ZHOU W R, ZHAO Y W. Error analysis and applicability study on simplified gaussian gray diffusion model[J]. Acta Optica Sinica, 2012, 32(7): 711002. (in Chinese)

【14】陈维真,张春华,周晓东. 基于局部直方图高斯拟合的星图背景性质研究[J]. 红外技术, 2008(4): 230-233.
CHEN W Z, ZHANG C H, ZHOU X D. Study of star-sky image background characteristics based on local-histogram gaussian fitting method[J]. Infrared Technology, 2008(4): 230-233. (in Chinese)

引用该论文

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]. 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

被引情况

【1】姜亮,张立国,张星祥,任建岳. 星敏感器星点定位系统误差补偿. 中国激光, 2015, 42(3): 314001--1

【2】李杰,郭盼,王春哲. 剪切波变换在星点提取中的应用. 中国光学, 2015, 8(3): 386-393

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