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基于cICA的红外点目标检测方法
引用本文:丁瑞,史彩成,毛二可,唐进.基于cICA的红外点目标检测方法[J].北京理工大学学报,2009,29(11):1001-1005.
作者姓名:丁瑞  史彩成  毛二可  唐进
作者单位:北京理工大学,信息与电子学院,北京,100081;北京邮电大学,自动化学院,北京,100876
摘    要:针对红外点目标检测的要求,提出了一种基于约束独立分量分析(cICA)的红外点目标检测方法. 该方法只采用单帧扫描图像作为数据源,利用峭度约束的独立分量分析方法,消除了传统独立分量分析(ICA)方法的提取顺序的不确定性,从而直接提取点状目标的位置. 实验结果表明,利用该方法能够有效地进行红外点目标检测.

关 键 词:约束独立分量  红外图像  点目标检测
收稿时间:2008/9/11 0:00:00

Method of Infrared Point Target Detection Based on cICA
DING Rui,SHI Cai-cheng,MAO Er-ke and TANG Jin.Method of Infrared Point Target Detection Based on cICA[J].Journal of Beijing Institute of Technology(Natural Science Edition),2009,29(11):1001-1005.
Authors:DING Rui  SHI Cai-cheng  MAO Er-ke and TANG Jin
Institution:School of Information and Electronics, Beijing Institute of Technology, Beijing 100081, China;School of Information and Electronics, Beijing Institute of Technology, Beijing 100081, China;School of Information and Electronics, Beijing Institute of Technology, Beijing 100081, China;School of Automation, Beijing University of Post and Telecommunications, Beijing 100876, China
Abstract:To solve infrared point target detection problems, a novel approach called cICA(constraint independent component analysis) is proposed. It adopts only one image as data source and introduces the constraint of kurtosis to the ICA (independent component analysis) to eliminate the permutation ambiguity of ICA. Experiments utilizing this method showed that it could detect point targets effectively.
Keywords:constraint independent component analysis  infrared image  point target detection
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