| Dim and weak target detection technology based on multi-characteristic fusion | |
| Tang, Jia1; Gao, Xin1; Jin, Gang2,3; Tang, J. (ttj.j@163.com) | |
| Volume | 187 LNEE |
| Pages | 271-277 |
| 2013 | |
| Language | 英语 |
| ISSN | 18761100 |
| DOI | 10.1007/978-3-642-33663-8_27 |
| Indexed By | Ei |
| Subtype | 会议论文 |
| Abstract | 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.; 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 Name | Proceedings of the 26th Conference of Spacecraft TT and C Technology in China - Shared and Flexible TT and C (Tracking, Telemetry and Command) Systems |
| Conference Date | 2013 |
| Citation statistics | |
| Document Type | 会议论文 |
| Identifier | http://ir.ioe.ac.cn/handle/181551/7405 |
| Collection | 光电工程总体研究室（一室） |
| Corresponding Author | Tang, J. (ttj.j@163.com) |
| Affiliation | 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 |
| 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-SA | Application Full Text | ||
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