Mr. Zhao Li Profile

Zhao Li

at Xi'an Institute of Optics And Precision Mechanics

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Publications (2)

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Proceedings Article | 5 November 2018 Paper

Moving space target detection algorithm based on trajectory similarity

Dong Wang, Yan Wen, Zhao Li

Proceedings Volume 10816, 108161B (2018) https://doi.org/10.1117/12.2500962

KEYWORDS: Target detection, Detection and tracking algorithms, Stars, Motion models, Image processing

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Space target detection technology based on visible light image sequence is of great significance to improve the defense capability of space debris. The path of an empty debris target is usually a straight line on the image. Firstly, this paper established the motion model of the space target according to its motion characteristics, and proposed a target initial screening method based on image sequence projection frame. In the initial screening target, a directed graph is established according to the constraints of motion, and the trajectory parameters are obtained simultaneously. Then calculating the similarity between the trajectory parameters, from which the track correlation matrix could be obtained. According to the result of correlation, the initial target is reduced to form a directed graph, and the selected node is the target point. Extensive experimental results show that the proposed method can effectively detect space moving objects, and the performance of the proposed algorithm is better than other algorithms.

Proceedings Article | 24 October 2017 Paper

A star image registration algorithm based on joint feature matching

Zhao Li, Yan Wen

Proceedings Volume 10462, 1046212 (2017) https://doi.org/10.1117/12.2283215

KEYWORDS: Astronomical imaging, Stars, Image registration

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With the amount of space debris increasing accordingly with human activities in near space, the threat of space debris to space missions raises the concern of surveillance of these malicious targets. Space target detection based on optical image is a feasible and effective solution for monitoring these malicious targets. However, as the observation platform is nonestationary, image obtained from the telescope need registration for further operation. In this paper, a star image registration algorithm based on joint feature matching is proposed. The star images are firstly denoised by filtering system. Then reference stars are preselected and their features are constructed. By matching the extracted features, a pool of star pairs is established. Transform parameters are derived from the locations of these matched pairs. Experimental results have validated the capability of our algorithm in pixel accurate star image registration.

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