Classification of polarimetric SAR images using Support Vector Machines

Canadian Journal of Remote Sensing

Volumn 37, Issue 2, 2011, Pages 220-233

  Shah Hosseini, R ^a   Entezari, I ^a   Homayouni, S ^a   Motagh, M ^b   Mansouri, B ^c  

^a UNIVERSITY OF TEHRAN   (Iran)

^b GFZ GERMAN RESEARCH CENTRE FOR GEOSCIENCES   (Germany)

^c INTERNATIONAL INSTITUTE OF EARTHQUAKE ENGINEERING AND SEISMOLOGY IIEES   (Iran)

Author keywords

[No Author keywords available]

Indexed keywords

DATA MINING; IMAGE CLASSIFICATION; MAXIMUM LIKELIHOOD; MAXIMUM LIKELIHOOD ESTIMATION; POLARIMETERS; RADAR IMAGING; REGRESSION ANALYSIS; SUPPORT VECTOR MACHINES; SYNTHETIC APERTURE RADAR;

CLASSIFICATION ALGORITHM; CLASSIFICATION PROCEDURE; MAXIMUM LIKELIHOOD CLASSIFIERS; MINIMUM DISTANCE CLASSIFIERS; NONLINEAR CLASSIFICATION; POLARIMETRIC PARAMETERS; SUPERVISED CLASSIFICATION; SUPPORT VECTOR MACHINE (SVMS);

CLASSIFICATION (OF INFORMATION);

EID: 84870009723     PISSN: 07038992     EISSN: 17127971     Source Type: Journal    
DOI: 10.5589/m11-029     Document Type: Article

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