复杂背景下红外弱小运动目标检测的新方法  

Novel Approach to IR Moving Dim Target Detection Against Complex Background

作　　者：黄康[1] 毛峡[1] 胡海勇[1] 梁晓庚[2] 

机构地区：[1]北京航空航天大学电子信息工程学院,北京100191 [2]中国空空导弹研究院,河南洛阳417009

出　　处：《航空学报》2009年第9期1754-1760,共7页Acta Aeronautica et Astronautica Sinica

基　　金：航空科学基金(20070112001)

摘　　要：提出了一种用于检测不同类型复杂背景下红外弱小运动目标的新方法。该方法能够根据图像信息自动选择背景预测算子;同时,针对不同类型复杂背景中目标和背景特性的差异,提出了"局部小目标可辨识度"的概念,并定义了一种有效的方法将其量化。在此基础上,采用蒙特卡罗实验方法构造了一种新的阈值函数,实现了单帧目标的检测,然后采用移动加权管道滤波提取目标的运动轨迹。实验结果表明,该方法对不同类型复杂背景的红外弱小运动目标具有很好的检测性能。A novel approach is proposed to detect moving dim infrared targets against different types of complex background. Background predictor is selected automatically based on image information. Meanwhile, a concept of ＂differentiation degree of local small targets＂ （DDLST） is proposed for the discrepancy of characteristics between the target and the background in complex background conditions, and an effective method is defined to quantitize it. A new threshold function based on the DDLST is constructed by Monte Carlo methods to accomplish the target detecting algorithm in a single frame. Then, variable weighted pipeline filters are applied to extract the trace of moving dim targets. The experimental results demonstrate the good performance of this approach.

关 键 词：红外图像 背景预测 弱小运动目标检测 局部小目标可辨识度 蒙特卡罗方法 

分 类 号：TP391.4[自动化与计算机技术—计算机应用技术]