Suppression of SAR Image Speckle Based on Multiwavelet
基于多子波的SAR图像噪声的抑制

As a classic method in frequency domain, wavelet analysis begin with decomposing the SAR image, then get the low frequency coefficients which will be kept and soft or hard threshold is applied on the high ones, at last all of them are reconstructed. The noise in the smooth area can be clearly suppressed, but in the areas with rich detail information edge the information detail is lost. The paper presents a method based on multiwavelet. Repeat-row approach is applied in the prefilter of multiwavelet to improve its denoising performance. At the same time the edge and noise which are hidden in the high frequency coefficients are separated by edge tracking algorithm, so that edge information is kept and the noise is suppressed. The numerical examples have proved that the method is more valid than others.