红外与毫米波学报2011，Vol.30Issue(2)：142-148,7.
基于核Rayleigh商二次相关滤波器的红外目标检测
Infrared target detection using kernel Rayleigh quotient quadratic correlation filter
摘要
Abstract
Rayleigh quotient quadratic correlation filter (RQQCF) is an important technique for target detection. Since it operates directly on image data, satisfying results can't be always achieved when it is used in infrared target detection.Higher-order statistical properties of the image can effectively suppress the noise and clutter and improve the detection results which can be realized by means of kernel method in kernel space. In this paper, kernel Rayleigh quotient quadratic correlation filter (KRQQCF) was developed by extending RQQCF to the higher-dimensional space, i. e. , the kernel space.Though the derivation was completed, this kernel filter couldn' t be achieved directly. Kernel feature extraction method was proposed to settle this problem. The algorithm was used to detect infrared targets, and kernel principal component analysis (KPCA) was adopted to obtain this KRQQCF in experiments. Experimental results using real-life infrared images confirm the excellent performance of KRQQCF, and that KRQQCF outperforms RQQCF significantly in infrared target detection.Consequently, KRQQCF is an effective method for infrared target detection and can achieve accurate detection results.关键词
核Rayleigh商二次相关滤波器/Rayleigh商二次相关滤波器/红外目标检测/核主成分分析Key words
kernel Rayleigh quotient quadratic correlation filter/ Rayleigh quotient quadratic correlation filter/ infrared small targets detection/ kernel principal component analysis(KPCA)分类
信息技术与安全科学引用本文复制引用
吴燕茹,程咏梅,赵永强,高仕博..基于核Rayleigh商二次相关滤波器的红外目标检测[J].红外与毫米波学报,2011,30(2):142-148,7.基金项目
国家自然科学基金(60634030,60602056) （60634030,60602056）
高等学校博士学科点专项科研基金(20060699032) （20060699032）
航空科学基金(2007EC53037) （2007EC53037）
