An adaptive contextual SEM algorithm for urban land cover mapping using multitemporal high-resolution polarimetric SAR data

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

Volumn 5, Issue 4, 2012, Pages 1129-1139

  Niu, Xin ^a   Ban, Yifang ^a  

^a ROYAL INSTITUTE OF TECHNOLOGY   (Sweden)

Author keywords

Adaptive MRF; polarimetric SAR; semi supervised classification; urban land cover

Indexed keywords

ADAPTIVE MRF; CONTEXTUAL INFORMATION; DISTRIBUTION MODELS; FINITE MIXTURE MODELS; GREATER TORONTO AREA; HIGH RESOLUTION; LEARNING CONTROL; MAPPING ACCURACY; MAPPING PROCESS; MARKOV RANDOM FIELDS; MULTI-TEMPORAL; PARAMETRIC APPROACH; POLARIMETRIC SAR; POLARIMETRIC SAR DATA; RADARSAT-2; SEM ALGORITHMS; SEMI-SUPERVISED; SEMI-SUPERVISED CLASSIFICATION; SPATIAL TEMPORALS; STOCHASTIC EXPECTATION-MAXIMIZATION; URBAN LAND COVER; WISHART MODEL;

POLARIMETERS; SUPPORT VECTOR MACHINES; SYNTHETIC APERTURE RADAR;

ADAPTIVE ALGORITHMS;

ALGORITHM; IMAGE CLASSIFICATION; IMAGE RESOLUTION; LAND COVER; MAPPING METHOD; RADARSAT; SYNTHETIC APERTURE RADAR; URBAN AREA;

EID: 84864740597     PISSN: 19391404     EISSN: 21511535     Source Type: Journal    
DOI: 10.1109/JSTARS.2012.2201448     Document Type: Article

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