Cauchy pdf modelling and its application to SAR image despeckling

Synthetic aperture radar (SAR) imagery is a kind of coherent system that produces a random pattern, named speckle, which degrades the merit of SAR images and affects their further application seriously. Therefore, how to restore SAR image from the speckle has become a necessary step in post-processing of image. A newdespeckling method is putforth on the basis of wavelet. First, a new approach on the basis of “second kind statistics”is used to estimate the dispersion parameter of the Cauchy distribution. Then, this Cauchy prior is applied to modelthe distribution of the wavelet coefficients for the log-transformed reflectance of SAR image. Based on the aboveideas, a new homomorphic wavelet-based maximum a posterior (MAP) despeckling method is proposed. Finally, the simulated speckled image and the real SAR image are used to verify our proposed method and the results showthat it outperforms the other methods in terms of the speckle reduction and the feature retention.