Research on technologies of space area targets high-precision tracking based on SWAD algorithm

Yang Mingdong; Wang Jianyu; Jia Jianjun; Zhang Liang; Qiang Jia

doi:10.3788/IRLA201645.0228002

For the problem of high-precision tracking of space area targets, a method of tracking area targets with high-precision was proposed. Sum of weighted absolute differences(SWAD) matching algorithm and sub-pixel fitting algorithm were used to extract precise position of the target. The template was updated during tracking. The conventional infinite impulse response filter approach used for template updating was improved. A variable coefficient template updating method was proposed. This method had small amount of computations, and creditability evaluation was not needed. The template updating coefficient was determined by gray values of current template and current best matching area. Images with different target brightness, and images after scale transformation for simulating target attitude change, were used to compare matching error of proposed method and conventional method. Results show that method proposed in this paper has better adaptability to changes of target attitude. Finally, collimator and simulation target were used to simulate far-field non-cooperative target. Indoor demonstration experiment was set up and the experiment shows that high-precision target tracking with image matching is feasible.

Research on technologies of space area targets high-precision tracking based on SWAD algorithm

1. Shanghai Institute of Technical Physics,Chinese Academy of Sciences,Shanghai 200083,China

Received Date: 2015-06-17

Rev Recd Date: 2015-07-10

Publish Date: 2016-02-25

Key words:

image processing /
high-precision tracking /
SWAD algorithm /
variable coefficient template updating /
demonstration experiment

Abstract: For the problem of high-precision tracking of space area targets, a method of tracking area targets with high-precision was proposed. Sum of weighted absolute differences(SWAD) matching algorithm and sub-pixel fitting algorithm were used to extract precise position of the target. The template was updated during tracking. The conventional infinite impulse response filter approach used for template updating was improved. A variable coefficient template updating method was proposed. This method had small amount of computations, and creditability evaluation was not needed. The template updating coefficient was determined by gray values of current template and current best matching area. Images with different target brightness, and images after scale transformation for simulating target attitude change, were used to compare matching error of proposed method and conventional method. Results show that method proposed in this paper has better adaptability to changes of target attitude. Finally, collimator and simulation target were used to simulate far-field non-cooperative target. Indoor demonstration experiment was set up and the experiment shows that high-precision target tracking with image matching is feasible.

HTML

Reference (33)

[1]
[2]	Geller D. Analysis of the relative attitude estimation and control problem for satellite inspection and orbital rendezvous[J]. The Journal of the Astronautical Sciences, 2007, 55(2):195-214.
[3]
[4]	Noriyasu INABA, Mitsushige ODA, Mitsugu ASANO. Rescuing a stranded satellite in space-experimental robotic capture of non-cooperative satellites[J]. Trans Japan Soc Aero Space Sci, 2006, 48(162):213-220.
[5]	Steven E L. The airborne laser[C]//SPIE, 2002, 4760:25-33.
[6]
[7]	Jim F R. An overview of the Space-Based Laser(SBL) program[C]//SPIE, 2002, 4632:181-186.
[8]
[9]	Nie Guangshu, Liu Min, Nie Yiwei, et al. Accuracy, error sources and control of tracking and pointing of airborne laser weapons[J]. Electronics Optics Control, 2014, 21(1):73-77.(in Chinese)
[10]
[11]
[12]	Charles Higgs, Barclay Herbert T, Murphy Daniel V, et al. Atmospheric compensation and tracking using active illumination[J]. Lincoln Laboratory Journal, 1998, 11(1):5-26.
[13]
[14]	Russell Donald, Ansari Homayoon, Chen Chien-C. LaserCom pointing acquisition and tracking control using a CCD-based tracker[C]//SPIE, 1994, 2123:294-303.
[15]	Song Renting, Yang Weiping, Yang Mingyue. Improved template matching algorithm for moving target tracking[J]. Infrared and Laser Engineering, 2007, 36(S):197-200.(in Chinese)
[16]
[17]
[18]	Wang Lucai, Yi Xinian, Chen Xiaotian, et al. Fast template matching algorithm based on AMSP and initial threshold estimation[J]. Infrared and Laser Engineering, 2013, 42(4):1106-1111.(in Chinese)
[19]
[20]	Jia Guimin, Wang Xiangjun, Zhang Shihai. Target tracking algorithm based on adaptive template update in complex background[J]. Acta Optica Sinica, 2009, 29(3):659-663.(in Chinese)
[21]	Caterina G D, Soraghan J J. Adaptive template matching algorithm based on SWAD for robust target tracking[J]. Electron Lett, 2012, 48(5):261-262.
[22]
[23]
[24]	Ji Shupeng, Zhang Guilin, Ding Xiaoqing. Study on image correlation tracking algorithm in the condition of complicated ground background[J]. Laser Infrared, 2002, 32(6):428-430.(in Chinese)
[25]	Fan Baojie, Du Yingkui, Zhu Linlin, et al. A robust template tracking algorithm with weighted active drift correction[J]. Pattern Recognition Letters, 2011, 32:1317-1327.
[26]
[27]
[28]	Xiao Zhitao, Lu Xiaofang, Geng Lei, et al. Sub-pixel matching method based on epipolar line rectification[J]. Infrared and Laser Engineering, 2014, 43(S):225-230.(in Chinese)
[29]	Hitoshi Nishiguchi, Yoshihiko Nomura. A study on SSD calculation between input image and subpixel translated template images and its applications to a subpixel image matching problem[C]//SPIE, 2009, 7252, 72520R:1-8.
[30]
[31]	Pan Bing, Xie Huimin, Xu Boqin, et al. Performance of sub-pixel registration algorithms in digital image correlation[J]. Meas Sci Technol, 2006, 17:1615-1621.
[32]
[33]	Chen Rongli, Han Le, Che Chicheng, et al. Research on un-illuminant space target visual detection technique[J]. Acta Photonica Sinica, 2005, 34(9):1438-1440.(in Chinese)

Research on technologies of space area targets high-precision tracking based on SWAD algorithm

doi: 10.3788/IRLA201645.0228002

Abstract

References

Proportional views

通讯作者: 陈斌, bchen63@163.com

Article Metrics

Related

Proportional views