Dim and weak target detection technology based on multi-characteristic fusion | |
Tang, Jia1; Gao, Xin1; Jin, Gang2,3 | |
2013 | |
会议名称 | Proceedings of the 26th Conference of Spacecraft TT and C Technology in China - Shared and Flexible TT and C (Tracking, Telemetry and Command) Systems |
会议日期 | 2013 |
卷号 | 187 LNEE |
页码 | 271-277 |
通讯作者 | Tang, J. (ttj.j@163.com) |
中文摘要 | As the signal of small weak target is weak, its characteristic information is prone to weakening and loss and is difficult to maintain stability. In this paper, a self-learning mechanism is built using continuous signal correlative characteristics. The method is based on K-L transform fusion technology and D-S theory of decision-making. Meanwhile, the fusion technology of "fusion after the first decision-making" and "decision-making after first fusion" organic integration is developed. To verify the detection capability of this technology for small dim targets, a new type of tracking processor is developed. It processes more than one hundred groups of raw image data divided into two groups. The image data is taken by a space target surveillance telescope. Experimental results show that dim targets can be detected and tracked stably and reliably using this technology. Also provided with a complex background suppression and anti-jamming capability, a target can be detected stably and reliably when its SNR is about 1.2. © 2013 Tsinghua University Press, and Springer-Verlag. |
英文摘要 | As the signal of small weak target is weak, its characteristic information is prone to weakening and loss and is difficult to maintain stability. In this paper, a self-learning mechanism is built using continuous signal correlative characteristics. The method is based on K-L transform fusion technology and D-S theory of decision-making. Meanwhile, the fusion technology of "fusion after the first decision-making" and "decision-making after first fusion" organic integration is developed. To verify the detection capability of this technology for small dim targets, a new type of tracking processor is developed. It processes more than one hundred groups of raw image data divided into two groups. The image data is taken by a space target surveillance telescope. Experimental results show that dim targets can be detected and tracked stably and reliably using this technology. Also provided with a complex background suppression and anti-jamming capability, a target can be detected stably and reliably when its SNR is about 1.2. © 2013 Tsinghua University Press, and Springer-Verlag. |
收录类别 | EI |
学科主题 | Decision making - Error detection - Fusion reactions - Spacecraft |
语种 | 英语 |
ISSN号 | 18761100 |
内容类型 | 会议论文 |
源URL | [http://ir.ioe.ac.cn/handle/181551/7405] ![]() |
专题 | 光电技术研究所_光电工程总体研究室(一室) |
作者单位 | 1.Beijing Institute of Tracking and Telecommunications Technology, Beijing 100094, China 2.China Aerodynamics Research and Development Center, Mianyang 621000, China 3.Chinese Academy of Sciences, Institute of Optics and Electronics, Chengdu 610209, China |
推荐引用方式 GB/T 7714 | Tang, Jia,Gao, Xin,Jin, Gang. Dim and weak target detection technology based on multi-characteristic fusion[C]. 见:Proceedings of the 26th Conference of Spacecraft TT and C Technology in China - Shared and Flexible TT and C (Tracking, Telemetry and Command) Systems. 2013. |
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