极化SAR图像的多纹理最大似然估计

基金项目:

国家自然科学基金资助项目，编号:69802004

详细信息

Multi-texture Maximum Likelihood Estimation of Polarimetric SAR Image

摘要: 提出了一种新的极化SAR图像相干斑抑制的方法。该方法在多纹理乘性相干斑噪声模型的假设下,采用最大似然估计法来同时估计多个极化通道的纹理参数。该方法保存了极化信息,消除了极化通道间的耦合,取得较好的相干斑抑制效果;并与极化白化滤波法(PWF)作了比较。
- 合成孔径雷达 /
- 相干斑 /
- 纹理 /
- 最大似然估计
Abstract: In this paper, a new method of speckle reduction in polarimetric SAR image is proposed. Based on the method, the texture parameters of multi-polarimetric channels are estimated simultaneously by the method of maximum likelihood under the assumption of multi-texture multiplicative speckle noise model. This method preserves the polarimetric properties, reduces the couple between polarimetric channels, and gets the better effect of speckle reduction. It is also compared with the PWF (polarimetric whitening filter).
- synthetic aeperture radar /
- speckle /
- multi-texture /
- maximum likelihood