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Unsupervised classification of multi-frequency and fully polarimetric SAR images based on the H/A/Alpha-Wishart classifier

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3 Author(s)
L. Ferro-Famil ; Ecole Polytech., Nantes Univ., France ; E. Pottier ; J. S. Lee

The authors introduce a new classification scheme for dual frequency polarimetric SAR data sets, based on the analysis of a (6×6) polarimetric coherency matrix defined from the polarimetric information of both images. From the Wishart probability density function of this polarimetric representation, is defined a maximum likelihood decision rule to perform an iterative adaptive classification. Another classification scheme, based on the derivation of the conditional probability of the cross-correlation between both data sets, is presented

Published in:

Geoscience and Remote Sensing Symposium, 2000. Proceedings. IGARSS 2000. IEEE 2000 International  (Volume:3 )

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