Hierarchical segmentation of polarimetric SAR images using heterogeneous clutter models

IEEE Transactions on Geoscience and Remote Sensing

Volumn 49, Issue 2, 2011, Pages 726-737

  Bombrun, Lionel ^a   Vasile, Gabriel ^b   Gay, Michel ^b   Totir, Felix ^b  

^a GIPSA LAB   (France)

^b SUPELEC   (France)

Author keywords

Fisher probability density function (PDF); KummerU PDF; polarimetric synthetic aperture radar (PolSAR) data; segmentation; spherically invariant random vectors (SIRV)

Indexed keywords

KUMMERU PDF; POLARIMETRIC SYNTHETIC APERTURE RADARS; PROBABILITY DENSITY FUNCTION (PDF); RANDOM VECTORS; SEGMENTATION;

CLUTTER (INFORMATION THEORY); IMAGE SEGMENTATION; IMAGING SYSTEMS; MAXIMUM LIKELIHOOD; POLARIMETERS; POLAROGRAPHIC ANALYSIS; PROBABILITY; RADAR; RADAR CLUTTER; SYNTHETIC APERTURE RADAR; SYNTHETIC APERTURES;

PROBABILITY DENSITY FUNCTION;

ALGORITHM; DATA SET; HETEROGENEITY; HIERARCHICAL SYSTEM; IMAGE ANALYSIS; IMAGE CLASSIFICATION; MAXIMUM LIKELIHOOD ANALYSIS; MULTIVARIATE ANALYSIS; NUMERICAL MODEL; POLARIZATION; PROBABILITY DENSITY FUNCTION; SYNTHETIC APERTURE RADAR; VECTOR;

EID: 79151479210     PISSN: 01962892     EISSN: None     Source Type: Journal    
DOI: 10.1109/TGRS.2010.2060730     Document Type: Article

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