摘要
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。
The temporal models for different pixel type are given according to temporal characteristics of the tar- get and background. An improved algorithm for temporal profile detection of infrared dim and small targets on back- ground 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 pos- itive 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.
出处
《电子科技》
2013年第1期1-3,26,共4页
Electronic Science and Technology
基金
国防预研基金资助项目(9140A01060110DZ0125)
关键词
红外弱小目标
时域廓线
目标检测
时域方差
infrared dim and small targets
temporal profile
target detection
temporal variance
