Despeckling of TerraSAR-X data using second generation wavelets

Abstract

This paper presents despeckling of SAR images using second generation wavelets and data from TerraSARX satellite. The bandelet and contourlet transforms are used. The model based approach for modeling noise free and speckle images is described. First order Bayesian inference is used to estimate a maximum a posteriori estimate and second order Bayesian inference is applied in order to nd the best model parameters. The synthetical and real SAR images are used in order to evaluate the despecking methods. The experimental results showed that the method using Bayesian inference in bandelet domain outperforms the same method applied in the contourlet domain for synthetical SAR image using objective measurements.