中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Multiple dim targets detection in infrared image sequences

文献类型:会议论文

作者Ma TL(马天磊); Shi ZL(史泽林); Yin J(尹健); Xu BS(徐保树)
出版日期2014
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
关键词multiple targets detection IR image sequences low SNR CFAR judging
页码1-8
中文摘要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.
收录类别EI ; CPCI(ISTP)
产权排序1
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
语种英语
ISSN号0277-786X
WOS记录号WOS:000349327100091
源URL[http://ir.sia.cn/handle/173321/15327]  
专题沈阳自动化研究所_光电信息技术研究室
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]. 见:International Symposium on Optoelectronic Technology and Application 2014. Beijing, China. May 13-15, 2014.

入库方式: OAI收割

来源:沈阳自动化研究所

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