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Multiple dim targets detection in infrared image sequences
Ma TL(马天磊); Shi ZL(史泽林); Yin J(尹健); Xu BS(徐保树)
作者部门光电信息技术研究室
会议名称International Symposium on Optoelectronic Technology and Application 2014
会议日期May 13-15, 2014
会议地点Beijing, China
会议录名称Proc. Of SPIE 9301, International Symposium on Optoelectronic Technology and Application
出版者SPIE
出版地Bellingham, WA
2014
页码1-8
收录类别EI ; CPCI(ISTP)
EI收录号20150800551807
WOS记录号WOS:000349327100091
产权排序1
ISSN号0277-786X
关键词Multiple Targets Detection Ir Image Sequences Low Snr Cfar Judging
摘要Strong noises interference is a difficult technical problem for signals detection. Multiple targets detection with strong noises makes the problem more complicated. Aiming at the difficulty of multiple uniform rectilinear motion targets detection in infrared (IR) image sequences with strong noises, this paper presents a multiple dim targets detection algorithm which improves signal-to-noise ratio (SNR). Firstly, we establish a velocity space and stack image sequences along different velocity vectors. Secondly, mean filtering in time-domain is applied to stacked images. Thirdly, quasi-target points in mean filtering images are selected by constant false-alarm ratio (CFAR) judging. Finally, coordinate vectors and velocity vectors of quasi-target points are mapped to location space and velocity space, respectively. As a result, local peaks from the two spaces will confirm target points; meanwhile, velocity vectors of targets can also be acquired. In addition, effect of velocity steps on SNR improvement is analyzed, which can guide the selection of steps and reduce computational burden. Both moving dim targets simulation experiment and real-world dim targets detection experiment have proved that this algorithm can effectively detect multiple dim targets under strong noise background.
语种英语
引用统计
文献类型会议论文
条目标识符http://ir.sia.cn/handle/173321/15327
专题光电信息技术研究室
通讯作者Ma TL(马天磊)
作者单位1.Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, China
2.Key Laboratory of Optical-Electronics Information Processing, Chinese Academy of Sciences, Shenyang, China
3.Research Institute on General Development and Argumentation of Equipment of Air Force, Beijing, China
4.University of Chinese Academy of Sciences, Beijing, China
推荐引用方式
GB/T 7714
Ma TL,Shi ZL,Yin J,et al. Multiple dim targets detection in infrared image sequences[C]. Bellingham, WA:SPIE,2014:1-8.
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