Information extraction form single look complex SAR images

This paper proposes a method using non-quadratic regularization. The Auto-binomial model (ABM) is used for a prior. The texture parameters of ABM are estimated using the evidence maximization framework. The regularization parameters are kept constant during despeckling. The experimental results showed that the SLC images can be despeckled using the non-quadratic regularization, because it is an iterative procedure. The textural parameters of the ABM well describes the SAR scene and well separates the textural properties of the scene, when texture parameters are classified using an unsupervised classification.