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基于快速独立分量分析的红外运动小目标的检测
引用本文:张国伟, 李红. 基于快速独立分量分析的红外运动小目标的检测[J]. 红外技术, 2006, 28(10): 567-570. DOI: 10.3969/j.issn.1001-8891.2006.10.002
作者姓名:张国伟  李红
作者单位:华中科技大学数学系,湖北,武汉,430074;华中科技大学数学系,湖北,武汉,430074
摘    要:针对红外图像运动小目标的特点,将包含复杂背景和运动小目标的图像序列视作混合信号,目标可视作为其中一个独立分量,应用快速独立分量分析(FastICA)将此独立分量从混合信号中分离出来,以检测出运动小目标.试验结果表明,此分析方法简单,速度快,适应性较强.

关 键 词:快速独立分量分析  红外运动目标  目标检测
文章编号:1001-8891(2006)10-0567-04
收稿时间:2006-07-12
修稿时间:2006-07-12

Detection of Small Moving Target in Infrared Image Based on Fast Independent Component Analysis
ZHANG Guo-wei, LI Hong. Detection of Small Moving Target in Infrared Image Based on Fast Independent Component Analysis[J]. Infrared Technology , 2006, 28(10): 567-570. DOI: 10.3969/j.issn.1001-8891.2006.10.002
Authors:ZHANG Guo-wei  LI Hong
Affiliation:Huazhong University of Science and Technology, Wuhan Hubei 430074, China
Abstract:In view of the characteristics of the moving small targets in infrared image,the sequence image with complex background and moving small targets can be regarded as mixture signals and the targets as an independent component.Thus the fast independent component analysis method(FastICA) is applied in order to separate the independent component from the mixture signals and detect the moving small target.The results show that FastICA has very easy operation,high speed and stronger applicability.
Keywords:FastICA   infrared moving small target   target detection
本文献已被 CNKI 维普 万方数据 等数据库收录!
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