基于极化矢量相似系数的极化Lee滤波改进算法

Refined Polarimetric SAR Speckle Lee Filtering Algorithm Based on Relativity of Polarization Vector

在相干斑抑制过程中,极化Lee滤波器的纹理保持性受到同性介质选取准确性的较大影响。通过引入极化矢量相似系数作为全极化SAR复图像数据的同性介质选择准则,给出了一种改进的极化SAR相干斑Lee滤波算法。实测数据的仿真实验表明,与极化Lee滤波器相比,改进算法具有较好的相干斑抑制效果,提高了滤波结果的纹理保持能力。

The texture maintenance of polarimetric Lee filtering algorithm rests with the accuracy of pixels selected in the speckle filtering.Drawing on the correlativity of Polarization vector,an improved principle of pixels is selected from the homogeneous clutter region and an improved polarization Lee filter is presented.According to the results which are evaluated on real SAR image experiment,the refined algorithm performs more effectively in terms of speckle reduction and texture preservation,compared with Polarization Lee filter.