New speckle reduction method for polarimetric SAR image based on independent component analysis
基于独立分量分析的极化SAR图像的相干斑抑制

Polarimetric Synthetic Aperture Radar (SAR) images are usually corrupted by strong speckle noise, which blocks scene information Abstracting and the application of polarimetric SAR images. Based on statistical formulation of polarimetric SAR image, a new approach for speckle reduction was presented using Independent Component Analysis (ICA). The experimental results show that excellent performance can be achieved: the image speckle noise is reduced effectively and the ENL is high, and the image quality is improved obviously.