基于小波变换和目标运动特性的红外弱小目标检测  

Infrared Dim Target Detection Based on Wavelet Transform and Target Motion Features

作　　者：李燕苹[1] 谢维信[1] 裴继红[1] 赵超[1] 李鹏飞[1] 

机构地区：[1]深圳大学信息工程学院,广东深圳518060

出　　处：《红外》2006年第9期1-5,共5页Infrared

基　　金：国家重点试验基金(51483040105QT5118);深圳市科技计划项目(200424)

摘　　要：红外弱小目标的分割与检测是地空导弹和航空导弹的关键技术。本文研究基于小波变换和目标运动特性的红外弱小目标的检测。在目标运动特性方面,主要采用了“与”管道进行目标的检测。大量试验表明,该算法具有很好的检测鲁棒性,且能够实时检测出红外图像中的弱小目标。The segmentation and detection of the small targets in infrared images are the crucial techniques for the ground-air and surface-air missiles. In this paper, the infrared dim target detection based on the wavelet transform and target motion features is studied. For the detection of target motion features, an ＂AND＂ pipe is mainly used. A lot of tests have shown that the method proposed here has good robust in detection and can detect dim targets in real time.

关 键 词：红外弱小目标 小波变换 运动特性 与管道 

分 类 号：TP274.52[自动化与计算机技术—检测技术与自动化装置]