Multi-baseline polarimetric SAR data classification using the complex Wishart distribution and principal component analysis

Laurent Ferro-Famil (1) , Andreas Reigber (2) , E. Pottier (1) , W. M. Boerner (3)

1 IETR - Institut d'Électronique et des Technologies du numéRique
2 T.U. BERLIN - Computer Vision and Remote Sensing
3 UIC - University of Illinois [Chicago]

no abstract

Mots clés: geophysical signal processing; geophysical techniques; image classification; principal component analysis; radar polarimetry; remote sensing by radar; synthetic aperture radar; terrain mapping; InSAR; SAR; Wishart probability density function; coherent scattering vectors; complex Wishart distribution; geophysical measurement technique; interferometric SAR; iterative adaptive classification; land surface; maximum likelihood decision rule; multi-baseline SAR; multibaseline method; radar remote sensing; Arithmetic; Covariance matrix; Eigenvalues and eigenfunctions; Layout; Matrix decomposition; Pixel; Probability density function; Radar imaging; Radar scattering; Statistics

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

Laurent Ferro-Famil, Andreas Reigber, E. Pottier, W. M. Boerner. Multi-baseline polarimetric SAR data classification using the complex Wishart distribution and principal component analysis. IGARSS 2001. Scanning the Present and Resolving the Future. Proceedings. IEEE 2001 International Geoscience and Remote Sensing Symposium (Cat. No.01CH37217), 2001, Sydney, Australia. pp.2712-2714 vol.6, ⟨10.1109/IGARSS.2001.978138⟩. ⟨hal-01466143⟩