IOE OpenIR  > 光电工程总体研究室(一室)
Dim and weak target detection technology based on multi-characteristic fusion
Tang, Jia1; Gao, Xin1; Jin, Gang2,3; Tang, J. (ttj.j@163.com)
Volume187 LNEE
Pages271-277
2013
Language英语
ISSN18761100
DOI10.1007/978-3-642-33663-8_27
Indexed ByEi
Subtype会议论文
AbstractAs 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.; 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.
Conference NameProceedings of the 26th Conference of Spacecraft TT and C Technology in China - Shared and Flexible TT and C (Tracking, Telemetry and Command) Systems
Conference Date2013
Citation statistics
Document Type会议论文
Identifierhttp://ir.ioe.ac.cn/handle/181551/7405
Collection光电工程总体研究室(一室)
Corresponding AuthorTang, J. (ttj.j@163.com)
Affiliation1. 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
Recommended Citation
GB/T 7714
Tang, Jia,Gao, Xin,Jin, Gang,et al. Dim and weak target detection technology based on multi-characteristic fusion[C],2013:271-277.
Files in This Item:
File Name/Size DocType Version Access License
2013-2151.pdf(240KB)会议论文 开放获取CC BY-NC-SAApplication Full Text
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Tang, Jia]'s Articles
[Gao, Xin]'s Articles
[Jin, Gang]'s Articles
Baidu academic
Similar articles in Baidu academic
[Tang, Jia]'s Articles
[Gao, Xin]'s Articles
[Jin, Gang]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Tang, Jia]'s Articles
[Gao, Xin]'s Articles
[Jin, Gang]'s Articles
Terms of Use
No data!
Social Bookmark/Share
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.