Fusion of Polarimetric SAR Image Based on Stationary Contourlet Transform

A novel and efficient fusion method for polarimetric SAR image based on stationary contourlet transform is proposed. Several single-polarimetric-channel SAR intensity images are decomposed using stationary contourlet transform. Low-pass coefficients and the directional high-frequency coefficients are selected by optimal weighted sum of intensities algorithm for fusion. Experimental results show that compared with PWF de-speckling algorithm, the proposed algorithm can get better visual effect and preserves image details, and the significant information of original image like textures and contour details is well maintained.