Evolutionary RBF classifier for polarimetric SAR images

Expert Systems with Applications

Volumn 39, Issue 5, 2012, Pages 4710-4717

  Ince, Turker ^a   Kiranyaz, Serkan ^b   Gabbouj, Moncef ^b  

^a IZMIR UNIVERSITY OF ECONOMICS   (Turkey)

^b TAMPERE UNIVERSITY OF TECHNOLOGY   (Finland)

Author keywords

Particle swarm optimization; Polarimetric synthetic aperture radar; Radial basis function network

Indexed keywords

AIRBORNE SAR; CLASSIFICATION PERFORMANCE; CLASSIFICATION RESULTS; CLASSIFIER TRAINING; CONFUSION MATRICES; DATA SETS; DYNAMIC CLUSTERING; EIGENVALUE DECOMPOSITION; EXPERIMENTAL STUDIES; FEATURE SETS; FEATURE SPACE; GRAY LEVEL CO-OCCURRENCE MATRIX; PIXEL VALUES; POLARIMETRIC SAR; POLARIMETRIC SYNTHETIC APERTURE RADAR; POLARIMETRIC SYNTHETIC APERTURE RADARS; PRINCIPAL COMPONENTS ANALYSIS; RADIAL BASIS FUNCTIONS; RBF CLASSIFIERS; RBF NETWORK; SAN FRANCISCO BAY; STATE-OF-THE-ART ALGORITHMS; TEXTURAL INFORMATION; TEXTURE FEATURES;

ARTS COMPUTING; COVARIANCE MATRIX; EIGENVALUES AND EIGENFUNCTIONS; FEATURE EXTRACTION; PARTICLE SWARM OPTIMIZATION (PSO); POLARIMETERS; POLAROGRAPHIC ANALYSIS; PRINCIPAL COMPONENT ANALYSIS; RADIAL BASIS FUNCTION NETWORKS; SYNTHETIC APERTURES;

SYNTHETIC APERTURE RADAR;

EID: 84855894016     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2011.09.082     Document Type: Article

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