A new method for Synthetic aperture radar (SAR) image denoising is proposed. The prior information of speckle statistical model can be exploited to judge its distribution. The basis of SAR image can be estimated by Independent component analysis (ICA), and these bases can be divided into two different subspaces (noise and real signal subspaces) through a linear classifier. Then para-metric Bootstrap estimates the parameters of speckle sta-tistical model on the noise signal subspace, and the non-parametric Bootstrap can estimate the distribution of real image on the real signal subspace. According to different results estimated by Bootstrap, corresponding Maximum a posterior probability (MAP) filter will be selected for im-age denoising, using the noise model’s parameter for adap-tive filtering. Experiments show that the image processed by this new method can achieve a better visual perception and ob jective evaluation results.
展开▼
