Speckle Suppression for SAR Image Based on Wavelet Transform and PCA
Mao Jun · Jisuanji gongcheng · 2008
This paper puts forward a new method of speckle suppression in SAR image.The method gets rid of noises using of wavelet transform joining into Principal Components Analysis(PCA) processing for SAR image.Wavelet transform may keep the edges' information of image better,and PCA can draw out of PCs which are the primary characteristics of signals from the mixed signals.Togethering wavelet transform with the PCA can eliminate noises efficiently in image processing.Simultaneously,it can keep edge.Compared with Kirsch template weighted smoothing filtering and Kirsch template weighted smoothing filtering of adding into wavelet transform,the result shows this method has the better advantage in speckle suppression and stronger edge keeping.