Speckle Filtering Algorithm of PolSAR Imagery Based on Two dimensional Polarimetric Subspace ICA

To improve the performance of speckle filter on polarimetric synthetic aperture radar (PolSAR) imagery, an ICA algorithm based on two-dimensional polarization subspace is proposed. In this method, the PolSAR data of three channels were divided into three two-dimensional subspaces, and then the speckle noise component and texture component can be separated by the ICA algorithm. The equivalent number of looks (ENL) can be used to evaluate the effect of speckle filter. And an automatic ENL estimation algorithm is introduced to avoid the manual selection of a region with fully developed speckle and no texture. Performance of the novel speckle filter is tested through real data and the results show that the proposed filter is effective and robust.