计算机工程与应用Issue(8)：17-21,155,6.DOI:10.3778/j.issn.1002-8331.1211-0063
基于聚类分析的红外弱小目标检测
摘要
Abstract
In order to detect small targets in deep space, a detecting algorithm based on cluster analysis is proposed. The ap-proach forms a composite frame by a few of infrared images which have been preprocessed, and the composite frame is clus-tered after it is segmented based on moving targets feature. Accordingly, small targets and the trajectories of moving targets can be obtained. The false positive objects are deleted by followed validation process. Experimental results show that this method is robust in small targets detection. Compared with some traditional methods, good performance can be obtained in detection rate and detection efficiency.关键词
红外小目标/聚类分析/组合帧Key words
infrared small target/cluster analysis/composite frame分类
信息技术与安全科学引用本文复制引用
罗大鹏,魏龙生,桑农..基于聚类分析的红外弱小目标检测[J].计算机工程与应用,2013,(8):17-21,155,6.基金项目
国家自然科学基金(No.61271274,No.41202232) （No.61271274,No.41202232）
中央高校基本科研业务费专项资金资助项目(No.CUGL110225) （No.CUGL110225）
