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一种基于局部加权非参数回归估计的杂波抑制技术
A Locally Weighted Nonparametric Regression Based on Approach for Clutter Suppression
【摘要】 在含有点状运动目标的红外图像序列情况下,研究了一种基于局部加权回归分析的杂波估计技术,给出了此类估计器性能分析及其加权系数选择要求,并设计了一种加权函数。杂波抑制后,残留噪声的高斯性和独立性通过Kendall秩相关法和计算Friedman统计量的方法来进行了验证,其结果表明:本文所提出的加权函数综合性能优于同类文献中常出现的Uni-form和Epanechnikov加权函数。
【Abstract】 A new weight function used by locally weighted regression technique for estimation of background clutter in image sequnces with moving point targets is presented in this paper.Gaussianity and independency of residual are also verified using Kendall rank correlation and Friedman statistic methods.It is concluded that the performance of the weight function presented in this paper is superior to Uniform and Epanechnikov weight function.
【关键词】 点状目标;
红外图像序列;
局部加权回归分析;
Kendall秩相关系数;
Friedman统计量;
【Key words】 dim point target; IR image sequence; locally weighted regression; Kendall rank correlation; Friedman statistic;
【Key words】 dim point target; IR image sequence; locally weighted regression; Kendall rank correlation; Friedman statistic;
- 【文献出处】 激光与红外 ,Laser & Infrared , 编辑部邮箱 ,2005年04期
- 【分类号】TP751
- 【被引频次】12
- 【下载频次】191