Classification of Polarimetric SAR Images Based on Modeling Contextual Information and Using Texture Features

IEEE Transactions on Geoscience and Remote Sensing

Volumn 54, Issue 2, 2016, Pages 932-943

  Masjedi, Ali ^a   Valadan Zoej, Mohammad Javad ^a   Maghsoudi, Yasser ^a  

^a K N TOOSI UNIVERSITY OF TECHNOLOGY   (Iran)

Author keywords

Composite kernel; contextual image classification; Markov randomfield (MRF); polarimetric synthetic aperture radar (PolSAR); support vector machine (SVM); texture feature; Wishart distribution

Indexed keywords

FORESTRY; IMAGE CLASSIFICATION; IMAGE TEXTURE; INFORMATION USE; MARKOV PROCESSES; POLARIMETERS; RADAR IMAGING; SUPPORT VECTOR MACHINES; SYNTHETIC APERTURE RADAR;

CLASSIFICATION RESULTS; CONTEXTUAL CLASSIFICATION; CONTEXTUAL CLASSIFIERS; CONTEXTUAL INFORMATION; MARKOV RANDOM FIELDS; NONPARAMETRIC METHODS; POLARIMETRIC FEATURES; POLARIMETRIC SYNTHETIC APERTURE RADAR DATA;

CLASSIFICATION (OF INFORMATION);

ALGORITHM; COMPOSITE; FOREST ECOSYSTEM; IMAGE CLASSIFICATION; NUMERICAL METHOD; PIXEL; RADARSAT; SUPPORT VECTOR MACHINE; SYNTHETIC APERTURE RADAR; TEXTURE;

EID: 84940766717     PISSN: 01962892     EISSN: None     Source Type: Journal    
DOI: 10.1109/TGRS.2015.2469691     Document Type: Article

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