Speckle Reduction of SAR Image Based on Modeling of Autocorrelation Function of Wavelet Coefficients
Wen Wang, Guosheng Rui · Radar Science and Technology · 2006
The wavelet coefficients of SAR images have important correlations,and correct modeling of the correlations can improve despeckling effect.A new method to suppress speckle noise of SAR images is proposed in this paper.The main contributions of the method are to accurately model the autocorrelation function of wavelet coefficient of logarithmically transformed SAR images in steerable pyramid and to incorporate the directionalities of subband coefficients into the model in an analytic way.Based on the correlation models of signal and noise,Wiener filter is applied to separate speckle noise from original SAR images.The simulation results on simulated images and real SAR images show that the proposed method has better performance than the previous methods.