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

International Geoscience and Remote Sensing Symposium (IGARSS)

Volumn 6, Issue , 2001, Pages 2712-2714

  Ferro Famil, Laurent ^a   Reigber, A ^a   Pottier, E ^a   Boerner, Wolfgang M ^a  

^a UNIVERSITÉ DE RENNES 1   (France)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; DEGREES OF FREEDOM (MECHANICS); EIGENVALUES AND EIGENFUNCTIONS; INTERFEROMETRY; MATHEMATICAL TRANSFORMATIONS; MATRIX ALGEBRA; PRINCIPAL COMPONENT ANALYSIS; PROBABILITY DENSITY FUNCTION; RADAR IMAGING; VECTORS;

MAXIMUM LIKELIHOOD DECISIONS; WISHART DISTRIBUTIONS;

SYNTHETIC APERTURE RADAR;

EID: 0035574529     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (7)

1. Polarimetric SAR interferometry
2. First demonstration of airborne SAR tomography using multi-baseline L-band data
3. Unsupervised classification scheme based on the complex Wishart Distrtribution and the H-A-alpha polarimetric decomposition theorem
4. Dual frequency polarimetric SAR data classification and analysis
5. Unsupervised classification of multi-frequency and fully polarimetric SAR image based on the H/A/alpha - Wishart classifier
6. Detection of the number of signals by MDL principle