全极化合成孔径雷达图像极化白化滤波参数估计方法的改进研究

本文介绍了全极化SAR图像相干斑抑制的极化白化滤波,及其参数估计的传统方法.针对传统参数估计方法的缺陷,提出了增强的自适应边缘检测参数估计方法.由于以上方法无法检测点、线目标,本文提出了一种新的参数估计方法.将这些方法应用到NASA JPL实验室的全极化SAR图像数据中,得到了相干斑抑制图像.对这些图像进行详细的分析、比较,结果证明参数估计新方法具有强的适应性和有效性.

Improvement Research of Parameter Estimation in Polarimetric Whitening Filter of Full-Polarization SAR Image

Polarimetric whitening filter (PWF) method for speckle reduction in polarimetric synthetic aperture radar (SAR) is stated here,with some traditional covariance matrix parameter estimate method.Aimed at their defects in parameter estimation,an enhanced auto adaptive edge detection method for parameter estimating is presented firstly.For the lack of point target and line detection in the above mentioned methods,a new parameter estimation method is then introduced.At last,results of above mentioned methods applied in PWF are submitted.Detailed analyses and comparisons are also presented.It is proved that the new parameter estimation method is the most robust.