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Joint Decision and Naive Bayes Learning for Detection of Space Multi-Target
Huang T(黄涛)1,2; Li ZL(李自力)1; Zhou Y(周钰)1; Xiong YH(熊耀恒)1; Zhang HT(张海涛)1; Huang, T (reprint author), Chinese Acad Sci, Yunnan Astron Observ, Kunming 650011, Yunnan, Peoples R China.
刊名OPTICAL REVIEW
2014-07
卷号21期号:4页码:429-439
关键词Space Target Detection Naive Bayes Joint Decision Pattern Matching
ISSN号1340-6000
DOI10.1007/s10043-014-0067-0
产权排序第1完成单位
文献子类Article
英文摘要In the photoelectric tracking system, the detection of space multi-target is crucial for target localization and tracking. The difficulties include the interferences from CCD smear and strong noise, the few characteristics of spot-like targets and the challenge of multiple targets. In this paper, we propose a hybrid algorithm of joint decision and Naive Bayes (JD-NB) learning, and present the duty ratio feature to discriminate the target and smear blocks. Firstly, we extract the proper features and train the parameters of the Naive Bayes classifier. Secondly, target blocks are preliminarily estimated with the Naive Bayes. Lastly, the 4-adjacent blocks of the candidate target blocks are jointed to analyze the distribution pattern and the true target blocks are secondarily extracted by the method of pattern matching. Experimental results indicate that the proposed JD-NB algorithm not only possesses a high recognition rate of better than 90% for the target block, but also effectively overcomes the disturbance of the smear block. Moreover, it performs well in the detection of small and faint targets when the SNR of the block is higher than about 0.014. (C) 2014 The Japan Society of Applied Physics
学科主题Optics
URL标识查看原文
WOS关键词SMALL TARGETS ; CCD ; ALGORITHM ; NETWORK ; SYSTEM
WOS研究方向Optics
语种英语
WOS记录号WOS:000344641000002
资助机构National Natural Science Foundation (NSFC) of China [10978025]
内容类型期刊论文
源URL[http://ir.ynao.ac.cn/handle/114a53/7461]  
专题云南天文台_应用天文研究组
通讯作者Huang, T (reprint author), Chinese Acad Sci, Yunnan Astron Observ, Kunming 650011, Yunnan, Peoples R China.
作者单位1.Yunnan Astronomical Observatory, Chinese Academy of Sciences, Kunming, Yunnan, 650011, China
2.University of Chinese Academy of Sciences, Zhongguancun, Beijing, 100049, China
推荐引用方式
GB/T 7714
Huang T,Li ZL,Zhou Y,et al. Joint Decision and Naive Bayes Learning for Detection of Space Multi-Target[J]. OPTICAL REVIEW,2014,21(4):429-439.
APA Huang T,Li ZL,Zhou Y,Xiong YH,Zhang HT,&Huang, T .(2014).Joint Decision and Naive Bayes Learning for Detection of Space Multi-Target.OPTICAL REVIEW,21(4),429-439.
MLA Huang T,et al."Joint Decision and Naive Bayes Learning for Detection of Space Multi-Target".OPTICAL REVIEW 21.4(2014):429-439.
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