Target azimuth measuring method for photoelectric imaging detection system

Xu Jing; Zhang He; Zheng Pengfei; Cui Yebing

doi:10.3788/HPLPB20132503.0574

Volume 25 Issue 03

Mar. 2013

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Article Navigation > High Power Laser and Particle Beams > 2013 > 25(03): 574-578

Xu Jing, Zhang He, Zheng Pengfei, et al. Target azimuth measuring method for photoelectric imaging detection system[J]. High Power Laser and Particle Beams, 2013, 25: 574-578. doi: 10.3788/HPLPB20132503.0574

Citation:

Xu Jing, Zhang He, Zheng Pengfei, et al. Target azimuth measuring method for photoelectric imaging detection system[J]. High Power Laser and Particle Beams, 2013, 25: 574-578. doi: 10.3788/HPLPB20132503.0574

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Target azimuth measuring method for photoelectric imaging detection system

doi: 10.3788/HPLPB20132503.0574

1.
Intelligent Ammunition Technology Laboratory,Nanjing University of Science and Technology,Nanjing 210094,China;
2.
School of Mechanical Engineering,Nanjing University of Science and Technology,Nanjing 210094,China

Received Date: 2012-05-31
Rev Recd Date: 2012-11-06
Publish Date: 2013-03-05

Abstract

Abstract

In order to obtain the image and the position information of the target, an azimuth measuring method for moving targets based on monocular vision system is investigated. According to the principle of projection imaging, the mapping relationship between the 3-D position and the 2-D image of the target is derived, and the target azimuth measuring mathematical model is established based on monocular vision system. A detection combination algorithm is proposed using image subtraction and KLT method for moving targets under still background and changing background, and the sub-pixel orientation method is applied to the positioning of target feature points. The experimental and simulation results show that the method can extract the target feature points effectively, achieving a relatively accurate target positioning, and the target azimuth information is measured through monocular vision method, with the error within 8%.
- photoelectric imaging detection,
- monocular vision,
- target azimuth,
- sub-pixel orientation

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