基于加权系数自适应选择的背景杂波抑制技术研究

An Adaptive Weight Function Selection Method Based Approach for Clutter Suppression

含有点状运动目标的红外图像情况下,本文研究了一种以最小自适应空域局部加权估计误差使全局估计误差为最小的图像背景(杂波)估计技术,给出了此类估计器性能分析和加权函数的自适应选择算法.另外,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,其结果表明自适应选择的Uniform或Gabor加权系数综合性能优于同类文献中经常被单独使用的Uniform加权函数.

A new adaptive weight function selection scheme 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 residuals are also verified using Kendall rank correlation and Friedman statistic methods. It is concluded that the performance of the adaptive weight function selection method presented in this paper is superior to that single Uniform weight function.