基于SA4向量小波变换及Fisher算法的红外弱小目标检测  

Small Weak Infrared Target Detection Based on SA4 Multiwavelet Transform and Fisher Algorithm

作　　者：徐永兵[1] 裴先登[1] 夏涌 

机构地区：[1]华中科技大学计算机学院,湖北武汉430074 [2]武汉市交通科学研究所,湖北武汉430074

出　　处：《红外》2003年第12期7-10,共4页Infrared

基　　金：国防科技预研基金:编号5140102021JW0506

摘　　要：本文提出了一种新的红外图像弱小目标检测方法,即利用SA4向量小波的优良性质,采用恰当的预滤波器对图像进行预处理;而后利用Fisher算法对经SA4向量小波变换得到的高频图像进行分割,最终将目标从背景中分离出来。大量实验表明该算法是有效的。This paper is aimed to suggest a new algorithm for detecting infrared targets. Utilizing the excellent quality of SA4 multiwavelet, an infrared image is firstly preprocessed with a proper pre-filter, then segmented by the Fisher algorithm, and finally the target Ocould be detected from the background. A large number of experiments indicate that the whole algorithm is quite effective.

关 键 词：小波变换 Fisher算法 红外弱小目标 目标检测 红外成像系统 目标提取 

分 类 号：TN219[电子电信—物理电子学]