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基于向量小波变换及Fisher算法的红外弱小目标检测
引用本文:徐永兵,裴先登,夏涌.基于向量小波变换及Fisher算法的红外弱小目标检测[J].红外技术,2004,26(1):17-20,24.
作者姓名:徐永兵  裴先登  夏涌
作者单位: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
基金项目:国防科技预研基金 :编号 5 14 0 10 2 0 2 1JW 0 5 0 6
摘    要:提出了一种新的红外图像弱小目标检测方法;即利用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;而后对经向量小波变换得到的高频图像利用Fisher算法进行分割,最终将目标从背景中分离出来。通过理论分析和大量实验,表明了算法是有效的,并证明该算法能够快速稳定的检测出信噪比小于等于2的弱小目标。

关 键 词:向量小波变换  Fisher算法  红外弱小目标  目标检测  信噪比
文章编号:1001-8891(2004)01-0017-04

Infrared Weak Small Target Detection Based on Multiwavelet Transform and Fisher Algorithm
XU Yong bing ,XIA Yong.Infrared Weak Small Target Detection Based on Multiwavelet Transform and Fisher Algorithm[J].Infrared Technology,2004,26(1):17-20,24.
Authors:XU Yong bing  XIA Yong
Affiliation:XU Yong bing 1,XIA Yong 2
Abstract:This paper is aimed to suggest a new algorithm for detecting the infrared target. Utilizing the excellent quality of multiwavelet, the infrared image is firstly preprocessed with the proper pre filter, and then segmented by the Fisher algorithm, finally the target object could be detected from the background. In this paper, theoretical analyses and a large number of experiments indicates that the whole algorithm is quite effective, at the same time, it has been proved that the algorithm itself could be used in the detecting of the weak infrared target with rapidly and steadily.
Keywords:multiwavelet transform    fisher segmentation    infrared weak 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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