A three-component fisher-based feature weighting method for supervised PolSAR image classification

IEEE Geoscience and Remote Sensing Letters

Volumn 12, Issue 4, 2015, Pages 731-735

  Chen, Bo ^a   Wang, Shuang ^a   Jiao, Licheng ^a   Stolkin, Rustam ^b   Liu, Hongying ^a  

^a XIDIAN UNIVERSITY   (China)

^b UNIVERSITY OF BIRMINGHAM   (United Kingdom)

Author keywords

Feature weighting; Fisher linear discriminant; polarimetric synthetic aperture radar (PolSAR); radar polarimetry; supervised image classification; three component model based decomposition

Indexed keywords

CLASSIFICATION (OF INFORMATION); NASA; POLARIMETERS; SYNTHETIC APERTURE RADAR;

FEATURE WEIGHTING; FISHER LINEAR DISCRIMINANTS; POLARIMETRIC SYNTHETIC APERTURE RADARS; RADAR POLARIMETRY; SUPERVISED IMAGE CLASSIFICATIONS; THREE COMPONENT MODEL;

IMAGE CLASSIFICATION;

EID: 84908667475     PISSN: 1545598X     EISSN: None     Source Type: Journal    
DOI: 10.1109/LGRS.2014.2360421     Document Type: Article

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