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We present an approach for polarimetric Synthetic Aperture Radar (SAR) imageregion boundary detection based on the use of B-Spline active contours and anew model for polarimetric SAR data: the GHP distribution. In order to detectthe boundary of a region, initial B-Spline curves are specified, eitherautomatically or manually, and the proposed algorithm uses a deformablecontours technique to find the boundary. In doing this, the parameters of thepolarimetric GHP model for the data are estimated, in order to find thetransition points between the region being segmented and the surrounding area.This is a local algorithm since it works only on the region to be segmented.Results of its performance are presented.

Polarimetric SAR Image Segmentation with B-Splines and a New Statistical Model