A generic land-cover classification framework for polarimetric SAR images using the optimum touzi decomposition parameter subset - An insight on mutual information-based feature selection techniques

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

Volumn 7, Issue 4, 2014, Pages 1167-1176

  Banerjee, Biplab ^a   Bhattacharya, Avik ^a   Buddhiraju, Krishna Mohan ^a  

^a INDIAN INSTITUTE OF TECHNOLOGY BOMBAY   (India)

Author keywords

Feature selection; mutual information (MI); support vector machine (SVM) classification; Touzi decomposition

Indexed keywords

FEATURE EXTRACTION; GRAPHIC METHODS; POLARIMETERS; SCATTERING; SUPPORT VECTOR MACHINES;

CLASSIFICATION FRAMEWORK; CLASSIFICATION PARAMETERS; GENERALIZATION ACCURACY; LAND-COVER CLASSIFICATION; MUTUAL INFORMATIONS; PHYSICAL SIGNIFICANCE; POLARIMETRIC SYNTHETIC APERTURE RADARS; TARGET SCATTERING DECOMPOSITION;

SYNTHETIC APERTURE RADAR;

ALOS; ARTIFICIAL INTELLIGENCE; EIGENVALUE; IMAGE CLASSIFICATION; LAND COVER; PATTERN RECOGNITION; RADAR IMAGERY; SYNTHETIC APERTURE RADAR;

INDIA; MAHARASHTRA; MUMBAI;

EID: 84899984423     PISSN: 19391404     EISSN: 21511535     Source Type: Journal    
DOI: 10.1109/JSTARS.2014.2304456     Document Type: Article

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