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

Laurent Ferro-Famil (1) , E. Pottier (1) , Jong-Sen Lee (2)

1 IETR - Institut d'Électronique et des Technologies du numéRique
2 NRL - Naval Research Laboratory

no abstract

Mots clés: image classification; radar polarimetry; synthetic aperture radar; terrain mapping; AIRSAR sensor; C-band SAR images; France; H/A/Alpha-Wishart classifier; L-band SAR; Nezer Forest; P-band SAR images; classification scheme; coherency matrices; complex Wishart density function; conditional probability; cross-correlation matrix; decomposition theorem; dual frequency polarimetric SAR data sets; multifrequency SAR images; multivariate statistics; polarimetric SAR images; polarimetric coherency matrix; polarimetric cross-correlation information; scattering characteristics; terrain classification; unsupervised classification; Density functional theory; Frequency; Image sensors; Iterative algorithms; Matrix decomposition; NASA; Probability; Radar scattering; Remote sensing; Statistics

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

Laurent Ferro-Famil, E. Pottier, Jong-Sen Lee. Unsupervised classification of multifrequency and fully polarimetric SAR images based on the H/A/Alpha-Wishart classifier. IEEE Transactions on Geoscience and Remote Sensing, 2001, 39 (11), pp.2332-2342. ⟨10.1109/36.964969⟩. ⟨hal-01466145⟩