中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
A small target detection algorithm based on multi-scale energy cross

文献类型:会议论文

作者Li ZJ(李长军); Wei Y(魏颖); Shi ZL(史泽林)
出版日期2003
会议名称IEEE International Conference on Robotics, Intelligent Systems and Signal Processing
会议日期October 8-13, 2003
会议地点Changsha, China
关键词multi-scale analysis mutual eneigy cross target detection sea-level line detection
页码1191-1196
中文摘要In accordance with the characteristics of the small target against sea and sky background a small target detection algorithm based on multi-scale mutual energy cross is proposed in this paper In order to determinate potential region in which the target lie, sea-level line first is detected by using direction gradient operator Then on the basis of wavelet decomposition, we define the multi-scale mutual energy cross function to eliminate the intense infrared clutter The precise position of the small target is finally found by region-growth technique. Experimental results show that the algorithm proposed has better performance with respect to detection probability of single frame and less computation complexity It is an effective small infrared target detection algorithm against sea and sky background.
收录类别CPCI(ISTP)
产权排序1
会议主办者Chinese High tech Dev Program, Chinese Acad Sci, Chinese Soc Automat, IEEE Syst, Man & Cybernet Soc, Chinese Univ Hong Kong, Natl Univ Def Technol, IEEE Hong Kong RA & CS Joint Chapter, Joint Ctr Intelligen Sensing & Syst, Sch Elect Sci & Engn, Sch Mechatron Engn & Automat
会议录2003 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS, INTELLIGENT SYSTEMS AND SIGNAL PROCESSING, VOLS 1 AND 2, PROCEEDINGS
会议录出版者IEEE
会议录出版地NEW YORK
语种英语
ISBN号0-7803-7925-X
WOS记录号WOS:000189506600213
源URL[http://ir.sia.cn/handle/173321/7951]  
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
Li ZJ,Wei Y,Shi ZL. A small target detection algorithm based on multi-scale energy cross[C]. 见:IEEE International Conference on Robotics, Intelligent Systems and Signal Processing. Changsha, China. October 8-13, 2003.

入库方式: OAI收割

来源:沈阳自动化研究所

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