Evaluation of Multilook Effect in ICA Based ICTD for PolSAR Data Analysis

Leandro Pralon (1) , Nikola Besic (1) , Gabriel Vasile (1) , Mauro Dalla Mura (1) , Jocelyn Chanussot (1)

1 GIPSA-SIGMAPHY - GIPSA - Signal Images Physique

Polarimetric incoherent target decomposition aims in accessing physical parameters of illuminated scatters through the analysis of target coherence or covariance matrix. In this framework, Independent Component Analysis (ICA) was recently proposed as an alternative method to eigenvector decomposition to better interpret non-Gaussian heterogeneous clutter (inherent to high resolution SAR systems). In this paper a Monte Carlo approach is performed in order to investigate the bias in estimating Touzi's Target Scattering Vector Model parameters when ICA is employed. Simulated data and data from the P-band airborne dataset acquired by the Office National d'tudes et de Recherches Arospatiales (ON-ERA) over the French Guiana in 2009 in the frame of the European Space Agency campaign TropiSAR are taken into consideration.

Mots clés: Bias analysis; Polarimetric Incoherent Target Decomposi-tion; Independent Component Analysis

Domaines: Traitement du signal et de l'image [eess.SP]

Leandro Pralon, Nikola Besic, Gabriel Vasile, Mauro Dalla Mura, Jocelyn Chanussot. Evaluation of Multilook Effect in ICA Based ICTD for PolSAR Data Analysis. POLinSAR 2015 - 7th International Workshop on Science and Applications of SAR Polarimetry and Polarimetric Interferometry, Jan 2015, Frascati, Italy. ⟨hal-01257893⟩