Unsupervised classification of polarimetric SAR images using neural nets

Classification of earth terrain components using fully polarimetric SAR images is one of many important application of radar polarimetry. In this paper, we are interested in unsupervised classification method because of their rapidity, automatic criterion and their independency on the images to be classified.