Data Processing and Analysis

Scientific talk given at the IEEE IGARSS conference.

ICA Based Incoherent Target Decompositions for POLSAR Data in Remote Sensing

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 proposed by combining the polar decomposition and by adjusting the conventional k-means mean and distance with their counterpart on the Riemannian manifold. This algorithm is tested using P-band airborne PolSAR data acquired for the ESA campaign TropiSAR campaign.


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