一种基于单帧红外图像抗类目标干扰的算法  

An Algorithm for Resisting the Interference of Similar Targets Based on Single Infrared Image

作　　者：李鹏[1] 陈钱[1] 郑海鸥[2] 赵勇[2] 

机构地区：[1]南京理工大学近程高速目标探测技术实验室 [2]防空兵指挥学院装备技术中心

出　　处：《光电工程》2010年第6期84-89,共6页Opto-Electronic Engineering

基　　金：国防预研项目(40405050303)

摘　　要：提高红外小目标检测概率的前提是应尽可能的对云、烟雾或地物等类目标进行准确预测,达到抑制干扰、突出目标的目的。为有效去除红外小目标检测中的类目标干扰,降低虚警率,本文提出一种基于单帧红外预警系统图像抗类目标干扰的方法。该方法先通过背景抑制,消除系统噪声的干扰,提高图像的信噪比;然后根据目标头尾特征,并结合目标的长度,将潜在目标从类目标干扰中分离出来,待后续处理。从实验结果来看,该算法能够有效降低类目标干扰,对红外小目标检测算法具有较好的辅助作用。It is important for the infrared thermal imaging system to increase the detection probability of small targets by resisting the interference of similar targets such as clouds,fog and objects on the ground.In order to decrease the false alarm rate of infrared surveillance system,a method for resisting of similar targets is put forward based on single infrared image.Firstly,the background noise is removed to enhance the SNR of infrared image.And then,according to head,tail and the length characters of targets,some potential targets are separated from the similar targets.The experiment result shows that this algorithm can decrease interference of similar targets and increase detection probability of infrared small target,and is very useful for small target detection.

关 键 词：红外图像 类目标 背景抑制 恒虚警 

分 类 号：TP751[自动化与计算机技术—检测技术与自动化装置]