应用于小阵元跟踪传感器的相关算法优化

杨奇龙; 马晓燠; 魏凯

doi:10.3788/OPE.20172513.0032

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应用于小阵元跟踪传感器的相关算法优化

现代应用光学 | 更新时间：2020-08-13

- 应用于小阵元跟踪传感器的相关算法优化
- Optimization of correlation algorithms for small array pixels tracking sensors
- 光学精密工程 2017年25卷第10s期页码：32-38
- 作者机构：
  
  中国科学院光电技术研究所,四川成都,610209
- 作者简介：
- 基金信息：
  
  西部青年学者基金资助项目()
- DOI：10.3788/OPE.20172513.0032
  中图分类号： P427.1;TP301.6
- 收稿日期：2017-06-11，
  
  修回日期：2017-07-10，
  
  纸质出版日期：2017-11-25
- 稿件说明：
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杨奇龙, 马晓燠, 魏凯. 应用于小阵元跟踪传感器的相关算法优化[J]. 光学精密工程, 2017,25(10s): 32-38

YANG Qi-long, MA Xiao-yu, WEI Kai. Optimization of correlation algorithms for small array pixels tracking sensors[J]. Editorial Office of Optics and Precision Engineering, 2017,25(10s): 32-38
杨奇龙, 马晓燠, 魏凯. 应用于小阵元跟踪传感器的相关算法优化[J]. 光学精密工程, 2017,25(10s): 32-38 DOI： 10.3788/OPE.20172513.0032.

YANG Qi-long, MA Xiao-yu, WEI Kai. Optimization of correlation algorithms for small array pixels tracking sensors[J]. Editorial Office of Optics and Precision Engineering, 2017,25(10s): 32-38 DOI： 10.3788/OPE.20172513.0032.

摘要

为提高复合轴跟踪系统中不规则目标的跟踪精度，将相关算法引入阵列型光子计数器数据处理得到斜率偏差。与相关算法在传统CCD上应用一样，在阵列型光子计数器上取一帧的一部分作为模板。模版经对称优化后，将模板在被测帧上滑动匹配，经SAD算法后，通过拟合得出模板在被测帧上的位置测得光斑的偏移量。最后通过模板的光斑的质心位置对偏移进行校正实现稳定的跟踪。实验结果表明：修正后的相关算法可实现稳定跟踪，模版对称优化对拟合精度也有一定提升作用。优化后模版进行SAD算法的测量系统误差为0.018 pixel，测量随机误差为0.046 pixel。将相关算法引入小阵列探测器上，通过选取适当的模版大小并经过修正可实现稳定跟踪。

Abstract

In order to improve the tracking accuracy of irregular targets in compound axis tracking system

the correlation algorithm was introduced into array photon counters to process the slope error. Similar to the correlation algorithms used in conventional CCD

part of a frame of a array photon counter was used as a template. After the template was symmetrically optimized

the template was matched on the frame.With the SAD algorithm

the position of the template on the measured frame was obtained by fitting

and the offset of light spot was calculated. Furthermore

the offset was corrected by the centroid location of light spots on the template to achieve stable tracking. The experimental results show that the modified correlation algorithm can achieve stable tracking

and the symmetrical optimization of the template can also improve the fitting accuracy.With optimized template

the measurement error of the SAD algorithm is 0.018 pixel

and the random error is 0.046 pixel. Employing the correlation algorithm to small array detectors

the stable tracking can be achieved by choosing appropriate size of the template and correcting the template.

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references

郭友明, 马晓燠, 饶长辉. 自适应光学系统倾斜校正回路的最优闭环带宽[J]. 物理学报, 2014, 63(6):425-429. GUO Y M, MA X Y, RAO CH H. The optimal loop bandwidth of physical tilt correction adaptive optical system[J]. Acta Physica Sinica, 2014, 63(6):425-429. (in Chinese)

吴碧琳, 饶长辉, 张雨东. 应用闭环残余倾斜数据分析自适应光学系统精跟踪回路性能[J]. 光学学报, 2006, 26(4):487-490. WU B L, RAO CH H, ZHANG Y D. Application of closed-loop residual tilt data analysis of adaptive optical system for fine tracking loop performance[J]. Acta Optica Sinica, 2006, 26(4):487-490. (in Chinese)

饶长辉, 姜文汉, 凌宁,等. 自适应光学系统对实际大气湍流波前的时域校正效果[J]. 光学学报, 2001, 21(8):933-938. RAO CH H, JIANG W H, LING N, et al.. The time domain correction effect of adaptive optics on the actual atmospheric turbulence front[J]. Acta Optica Sinica, 2001, 21(8):933-938. (in Chinese)

BARNEA D I, SILVERMAN H F. A class of algorithms for fast digital image registration[J]. IEEE Transactions on Computers, 2009, C-21(2):179-186.

CHA S H. Efficient algorithms for image template and dictionary matching[J]. Journal of Mathematical Imaging and Vision, 2000, 12(1):81-90.

赵金宇, 吴元昊, 贾建禄,等. 基于实时波前信息的图像复原[J]. 光学精密工程, 2012, 20(6):1350-1356. ZHAO J Y, WU Y H, JIA J L, et al.. Image restoration based on real time wavefront information[J]. Opt. Precision Eng., 2012, 20(6):1350-1356. (in Chinese)

赵启. 图像匹配算法研究[D]. 西安:西安电子科技大学, 2013. ZHAO Q. Research on Image Matching Algorithm[D]. Xi'an:Xi'an Electronic and Science University, 2013. (in Chinese)

孙林. 快速图像匹配算法研究及分布式图像匹配系统实现[D]. 长沙:国防科学技术大学, 2006. SUN L. Research on Fast Image Matching Algorithm and Implementation of Distributed Image Matching System[D]. Changsha:University of defense technology, 2006. (in Chinese)

陈皓, 马彩文,等. 基于灰度统计的快速模板匹配算法[J]. 光子学报, 2009,38(6):1586-1590. CHEN H, MA C W, et al.. Fast template matching algorithm based on gray statistics[J]. Acta Photonica Sinica, 2009,38(6):1586-1590. (in Chinese)

杨小冈,等. 基于相似度比较的图像灰度匹配算法研究[J]. 系统工程与电子技术, 2005,27(5):918-921. YANG X G, et al.. Research on image gray level matching algorithm based on similarity comparison[J]. System Engineering and Electronic Technology, 2005,27(5):918-921. (in Chinese)

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