云杂波背景下红外弱小目标的改进检测算法

根据目标和背景的时域特性,建立了不同像素类型的时域模型。提出了一种基于时域廓线的云杂波背景下红外弱小目标的一种改进算法。首先,采用基于时域方差滤波预处理方法,滤除平稳背景;然后采用基于时域廓线的目标检测方法,根据时域剖面线上的拐点值变化,转化为大小相当的正负脉冲来检测目标。理论分析和实验结果表明,文中算法对于不同云杂波背景具有广泛的适应性。

Improved Infrared Dim Target Detection Algorithm for Cloud Clutter

The temporal models for different pixel type are given according to temporal characteristics of the target and background.An improved algorithm for temporal profile detection of infrared dim and small targets on background clutters is presented.Firstly,the background suppression procession algorithm based on temporal variance is adopted to filter stable background from the image.Secondly,the detection is transformed into the detection the positive and negative pulse whose value is approximated to acquire the moving trace of targets.The theoretical analysis and the experimental result prove that this algorithm has a good performance for various background clutters.