Comparative analysis of ICA based Incoherent Target Decompositions for PolSAR data - Archive ouverte HAL
Communication Dans Un Congrès Année : 2022

Comparative analysis of ICA based Incoherent Target Decompositions for PolSAR data

Gabriel Vasile
Marco Congedo

Résumé

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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Dates et versions

hal-03727556 , version 1 (19-07-2022)

Identifiants

Citer

Gabriel Vasile, Marco Congedo. Comparative analysis of ICA based Incoherent Target Decompositions for PolSAR data. IGARSS 2022 - IEEE International Geoscience and Remote Sensing Symposium, Jul 2022, Kuala Lumpur, Malaysia. ⟨10.1109/IGARSS46834.2022.9883779⟩. ⟨hal-03727556⟩
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