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题名: Multiple dim targets detection in infrared image sequences
作者: 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: Proc. Of SPIE 9301, International Symposium on Optoelectronic Technology and Application
会议录出版者: SPIE
会议录出版地: Bellingham, WA
出版日期: 2014
页码: 1-8
收录类别: CPCI(ISTP) ; EI
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.
产权排序: 1
内容类型: 会议论文
URI标识: http://ir.sia.cn/handle/173321/15327
Appears in Collections:光电信息技术研究室_会议论文

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