Quaternion neural-network-based PolSAR land classification in poincare-sphere-parameter space

IEEE Transactions on Geoscience and Remote Sensing

Volumn 52, Issue 9, 2014, Pages 5693-5703

  Shang, Fang ^a   Hirose, Akira ^a  

^a UNIVERSITY OF TOKYO   (Japan)

Author keywords

Poincare sphere parameters; polarimetric synthetic aperture radar (PolSAR) land classification; quaternion neural network

Indexed keywords

FEEDFORWARD NEURAL NETWORKS; FORESTRY; SYNTHETIC APERTURE RADAR;

CLASSIFICATION METHODS; CLASSIFICATION PERFORMANCE; CLASSIFICATION RESULTS; COMPLICATED TERRAIN; POINCARE SPHERE; POLARIMETRIC SYNTHETIC APERTURE RADARS; POSITION VECTOR; STOKES VECTOR;

SPHERES;

ARTIFICIAL NEURAL NETWORK; GEOMETRY; IMAGE CLASSIFICATION; LAND CLASSIFICATION; PARAMETERIZATION; STOKES FORMULA; SYNTHETIC APERTURE RADAR;

FORESTRY; NEURAL NETWORKS; RADAR; SPHERES;

EID: 84900809101     PISSN: 01962892     EISSN: None     Source Type: Journal    
DOI: 10.1109/TGRS.2013.2291940     Document Type: Article

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