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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)
Department光电信息技术研究室
Conference NameInternational Symposium on Optoelectronic Technology and Application 2014
Conference DateMay 13-15, 2014
Conference PlaceBeijing, China
Source PublicationProc. Of SPIE 9301, International Symposium on Optoelectronic Technology and Application
PublisherSPIE
Publication PlaceBellingham, WA
2014
Pages1-8
Indexed ByEI ; CPCI(ISTP)
EI Accession number20150800551807
WOS IDWOS:000349327100091
Contribution Rank1
ISSN0277-786X
KeywordMultiple Targets Detection Ir Image Sequences Low Snr Cfar Judging
AbstractStrong 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.
Language英语
Citation statistics
Document Type会议论文
Identifierhttp://ir.sia.cn/handle/173321/15327
Collection光电信息技术研究室
Corresponding AuthorMa TL(马天磊)
Affiliation1.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
Recommended Citation
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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