Applying the log-cumulants of texture parameter to fully polarimetric SAR classification using Support Vector Machines Classifier

Proceedings of 2011 IEEE CIE International Conference on Radar, RADAR 2011

Volumn 1, Issue , 2011, Pages 728-731

  Liu, Meng ^a   Zhang, Hong ^b   Wang, Chao ^b  

^a UNIVERSITY OF CHINESE ACADEMY OF SCIENCES   (China)

^b CENTER FOR EARTH OBSERVATION AND DIGITAL EARTH   (China)

Author keywords

Log Cumulants; Polarimetric SAR Classification; Spherically Invariant Random Vectors Model; Support Vector Machines Classifier

Indexed keywords

CLASSIFICATION ALGORITHM; CLASSIFICATION METHODS; FULLY POLARIMETRIC SAR; GERMANY; LOG-CUMULANTS; POLARIMETRIC IMAGE; POLARIMETRIC SAR; RANDOM VECTORS; SCATTERING CHAR-ACTERISTICS; SCATTERING MECHANISMS; SUPPORT VECTOR MACHINE (SVM); URBAN AREAS;

POLARIMETERS; SUPPORT VECTOR MACHINES; TEXTURES;

SYNTHETIC APERTURE RADAR;

EID: 84858976665     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CIE-Radar.2011.6159644     Document Type: Conference Paper

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