Nonparametric feature selection and support vector machine for polarimetric SAR data classification

International Geoscience and Remote Sensing Symposium (IGARSS)

Volumn , Issue , 2011, Pages 2857-2860

  Maghsoudi, Yasser ^a   Collins, Michael ^a   Leckie, Donald G ^b  

^a UNIVERSITY OF CALGARY   (Canada)

^b LAURENTIAN FORESTRY CENTRE   (Canada)

Author keywords

class based; classification; feature selection; forest; non parametric; PolSAR data

Indexed keywords

CLASS-BASED; CLASSIFICATION ACCURACY; CLASSIFICATION ALGORITHM; COMPLEX SCENES; EVALUATION FUNCTION; FEATURE SELECTION ALGORITHM; FEATURE SUBSET; FOREST; NON-PARAMETRIC; POLARIMETRIC SAR DATA; POLSAR DATA; RADARSAT-2; REFERENCE METHOD; SCATTER MATRIX; SEPARABILITY MEASURE; STATISTICAL PROPERTIES; SVM CLASSIFIERS;

ALGORITHMS; GEOLOGY; POLARIMETERS; POLAROGRAPHIC ANALYSIS; REMOTE SENSING; SYNTHETIC APERTURE RADAR;

FEATURE EXTRACTION;

EID: 80955123823     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IGARSS.2011.6049810     Document Type: Conference Paper

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