SPECKLE REDUCTION IN POLARIMETRIC SAR IMAGERY COMBINING BY PWF AND STATIONARY WAVELET THRESHOLDING
Qingwei Gao, Dexiang Zhang, Yang Wang · International Journal of Wavelets Multiresolution and Information Processing · 2006
As we know, a polarimetric whitening filter can efficiently reduce speckle under the circumstances of keeping the same resolution, but it is not self-adaptive. Although it can be transformed to be self-adaptive by adding a window, the blur is serious on the heterogeneous areas or brightness. In this paper, we present a new algorithm. First, fully polarimetric measurements (HH, HV, VV) are processed by polarimetric whitening filters (PWF) method. Second, the PWF result is de-noised by stationary wavelet transform thresholding. Experimental result shows that this method not only suppresses the speckle noise effectively, but also preserves as many target characteristics of original images as possible. The final visual effect of the recovery SAR image is satisfying.