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Communication Dans Un Congrès Année : 2017

Information Extraction by Blind Source Separation from Polarimetric SAR Data

Leandro Pralon
  • Fonction : Auteur
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Gabriel Vasile
Mauro Dalla Mura
Jocelyn Chanussot

Résumé

Cloude and Pottier H/α feature space is one of the most employed methods for unsupervised PolSAR data classification based on Incoherent Target Decomposition. The association of the coherence matrix eigenvectors to the most dominant scatters in the analysed pixel introduces unfeasi-ble regions in the H/α plane. The Independent Component Analysis provides promising new information to better interpret non-Gaussian heterogeneous clutter in the frame of po-larimetric incoherent target decompositions. Not constrained to any orthogonality between the estimated scattering mechanisms that compose the clutter under analysis, ICA does not introduce any unfeasible region in the H/α plane, increasing the range of possible natural phenomenons depicted in the aforementioned feature space.
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Dates et versions

hal-01593486 , version 1 (26-09-2017)

Identifiants

  • HAL Id : hal-01593486 , version 1

Citer

Leandro Pralon, Gabriel Vasile, Mauro Dalla Mura, Jocelyn Chanussot. Information Extraction by Blind Source Separation from Polarimetric SAR Data. IGARSS 2017 - IEEE International Geoscience and Remote Sensing Symposium, Jul 2017, Fort Worth, United States. ⟨hal-01593486⟩
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