COMPARATIVE ANALYSIS OF ICA BASED INCOHERENT TARGET DECOMPOSITIONS FOR POLSAR DATA

The Independent Component Analysis (ICA) has been recently introduced as a reliable alternative to identify canonical scattering mechanisms within PolSAR images. This paper addresses an overview of the most important aspects for applying such methods on real data. A new geometric classification algorithm is introduced by applying the polar decomposition and by adjusting the conventional k-means mean and distance with their counterpart on the Riemannian manifold. This method is illustrated using P-band airborne PolSAR data acquired for the ESA campaign TropiSAR campaign.