SEC: Stochastic ensemble consensus approach to unsupervised sar sea-ice segmentation

Proceedings of the 2009 Canadian Conference on Computer and Robot Vision, CRV 2009

Volumn , Issue , 2009, Pages 299-305

  Wong, Alexander ^a   Clausi, David A ^a   Fieguth, Paul ^a  

^a UNIVERSITY OF WATERLOO   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

CANADIAN ICE SERVICES; CLASS-BASED; CONSENSUS STRATEGY; ENVIRONMENTAL CONDITIONS; GAUSSIAN MIXTURE MODEL; ICE TYPE; INTEGRAL PART; K-MEANS CLUSTERING; MARKOV RANDOM FIELD MODELS; MAXIMUM-LIKELIHOOD CLASSIFICATION; MIXTURE MODEL; RADARSAT 1; RADARSAT-2; RANDOM FIELDS; RANDOM SAMPLE; SEGMENTATION RESULTS; WEIGHTED MEDIAN;

BLIND SOURCE SEPARATION; COMPUTER VISION; HIDDEN MARKOV MODELS; IMAGE SEGMENTATION; IMAGING SYSTEMS; MAGNETOSTRICTIVE DEVICES; MAXIMUM LIKELIHOOD ESTIMATION; PIXELS; PROBABILITY DISTRIBUTIONS; SYNTHETIC APERTURE RADAR; SYNTHETIC APERTURES;

ICE;

EID: 70350528886     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CRV.2009.25     Document Type: Conference Paper

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