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Dim small targets detection based on self-adaptive caliber temporal-spatial filtering
Fan, Xiangsuo1,2,3; Xu, Zhiyong1; Zhang, Jianlin1; Huang, Yongmei1; Peng, Zhenming2
Source PublicationInfrared Physics and Technology
Volume85Pages:465-477
2017
Language英语
ISSN1350-4495
Indexed BySCI ; Ei
AbstractTo boost the detect ability of dim small targets, this paper began by using improved anisotropy for background prediction (IABP), followed by target enhancement by improved high-order cumulates (HQS). Finally, on the basis of image pre-processing, to address the problem of missed and wrong detection caused by fixed caliber of traditional pipeline filtering, this paper used targets’ multi-frame movement correlation in the time-space domain, combined with the scale-space theory, to propose a temporal-spatial filtering algorithm which allows the caliber to make self-adaptive changes according to the changes of the targets’ scale, effectively solving the detection-related issues brought by unchanged caliber and decreased/increased size of the targets. Experiments showed that the improved anisotropic background predication could be loyal to the true background of the original image to the maximum extent, presenting a superior overall performance to other background prediction methods; the improved HQS significantly increased the signal-noise ratio of images; when the signal-noise ratio was lower than 2.6 dB, this detection algorithm could effectively eliminate noise and detect targets. For the algorithm, the lowest signal-to-noise ratio of the detectable target is 0.37. © 2017 Elsevier B.V.
KeywordAdaptive filtering - Anisotropy - Beamforming - Forecasting - Object recognition - Signal noise measurement
Document Type期刊论文
Identifierhttp://ir.ioe.ac.cn/handle/181551/8816
Collection光电探测与信号处理研究室(五室)
Affiliation1.Key Laboratory of Beam Control Chinese Academy of Sciences, the Institute of Optics and Electronics the Chinese Academy of Sciences, Chengdu; 610209, China;
2.School of Optoelectronic Information, University of Electronic Science and Technology of China, Chengdu; 610054, China;
3.University of Chinese Academy of Sciences, Beijing; 100039, China
Recommended Citation
GB/T 7714
Fan, Xiangsuo,Xu, Zhiyong,Zhang, Jianlin,et al. Dim small targets detection based on self-adaptive caliber temporal-spatial filtering[J]. Infrared Physics and Technology,2017,85:465-477.
APA Fan, Xiangsuo,Xu, Zhiyong,Zhang, Jianlin,Huang, Yongmei,&Peng, Zhenming.(2017).Dim small targets detection based on self-adaptive caliber temporal-spatial filtering.Infrared Physics and Technology,85,465-477.
MLA Fan, Xiangsuo,et al."Dim small targets detection based on self-adaptive caliber temporal-spatial filtering".Infrared Physics and Technology 85(2017):465-477.
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