Improving the accuracy of urban land cover classification using Radarsat-2 PolSAR data

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

Volumn 7, Issue 4, 2014, Pages 1394-1401

  Salehi, Maryam ^a   Sahebi, Mahmod Reza ^a   Maghsoudi, Yasser ^a  

^a K N TOOSI UNIVERSITY OF TECHNOLOGY   (Iran)

Author keywords

Classification; feature selection; land cover; multi objective optimization; PolSAR data

Indexed keywords

CLASSIFICATION (OF INFORMATION); COVARIANCE MATRIX; FEATURE EXTRACTION; MULTIOBJECTIVE OPTIMIZATION; SUPPORT VECTOR MACHINES; SYNTHETIC APERTURE RADAR;

CLASSIFICATION ACCURACY; GENETIC ALGORITHM (GAS); LAND COVER; LAND COVER CLASSIFICATION; MULTI LAYER PERCEPTRON; POLSAR DATA; SUPPORT VECTOR MACHINE (SVMS); URBAN LAND COVER CLASSIFICATION;

IMAGE CLASSIFICATION;

ARTIFICIAL INTELLIGENCE; ARTIFICIAL NEURAL NETWORK; GENETIC ALGORITHM; IMAGE CLASSIFICATION; LAND COVER; MULTIOBJECTIVE PROGRAMMING; PATTERN RECOGNITION; RADARSAT; SYNTHETIC APERTURE RADAR; URBAN AREA;

CALIFORNIA; SAN FRANCISCO BAY; UNITED STATES;

EID: 84899991382     PISSN: 19391404     EISSN: 21511535     Source Type: Journal    
DOI: 10.1109/JSTARS.2013.2273074     Document Type: Article

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