一种超轻量化卫星目标形心定位算法

doi:10.19665/j.issn1001-2400.20230307

Abstract

Abstract:

The space-based photoelectric detection unit is vital in satellite identification and positioning.It has a large field of view,a small load,and flexible maneuvering properties.However,the computational capability of the CPU mounted on an on-orbit satellite could be much higher,which can hardly afford the necessity of deep learning networks.In this paper,we analyze the character of space targets deeply and designed a lightweight real-time processing algorithm.We specifically design feature extractors for the line and satellite contour patterns in the algorithm and propose a minimum bounding box calculation strategy.The algorithm is tested on the simulation dataset and verified on the images captured by the physical emulation platform.Testing results demonstrate the effectiveness of our algorithm.The detecting accuracy of our algorithm is better than YOLOv5n,and the computational load is only 10% that of the competitive methods.We transplant the algorithm to an on-orbit real-time processing platform.The positioning speed reaches 5 120×5 120@5fps.The accuracy for angle measurement based on the centroid positioning results is more significant than 0.05°,which meets the requirement for real application systems.

Key words: spacecraft, satellites, target positioning, object detection, real-time processing

CLC Number:

TP391.4

LIU Luyuan, HAN Luyao, LI Jiaojiao, XIA Hui, RAO Peng, SONG Rui. Lightweight centroid locating method for the satellite target[J].Journal of Xidian University, 2023, 50(6): 120-132.

Figures/Tables 13

References 31

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算法	运行时间/s	标准测试集		扩展测试集
算法	运行时间/s	方位角误差/(°)	仰角误差/(°)	方位角误差/(°)	仰角误差/(°)
YOLOv5n^[30]	6.449	0.067 0	0.067 4	0.217 5	0.275 8
文献[31]	1.664	0.061 1	0.071 7	0.203 0	0.281 8
文中算法	0.690	0.039 7	0.036 6	0.096 6	0.126 4

Lightweight centroid locating method for the satellite target

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