Systematic study of the urban postconflict change classification performance using spectral and structural features in a support vector machine

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

Volumn 1, Issue 2, 2008, Pages 120-128

  Pagot, Elodie ^a   Pesaresi, Martino ^a  

^a JOINT RESEARCH CENTRE   (Italy)

Author keywords

Built up change detection; Morphological profile; Support vector machine (SVM)

Indexed keywords

CONDUCTIVE PLASTICS; IMAGE RETRIEVAL; SIGNAL DETECTION; VECTORS;

BUILT-UP CHANGE DETECTION; CLASSIFICATION APPROACHES; CLASSIFICATION PERFORMANCE; DATA SETS; FEATURE VECTORS; IMAGE SERIES; INPUT VECTORS; MORPHOLOGICAL PROFILE; MULTI-SPECTRAL; PAN-SHARPENED; PANCHROMATIC DATUM; PANCHROMATIC IMAGES; SIMULTANEOUS USE; SPECTRAL CHANNELS; SPECTRAL IMAGES; SPECTRAL INFORMATIONS; STRUCTURAL FEATURES; STRUCTURAL INFORMATIONS; SUPPORT VECTOR MACHINE (SVM); SVM CLASSIFIERS; SYSTEMATIC STUDIES; VERY HIGH SPATIAL RESOLUTIONS;

SUPPORT VECTOR MACHINES;

DECOMPOSITION; IKONOS; IMAGE CLASSIFICATION; MULTIVARIATE ANALYSIS; PANCHROMATIC IMAGE; PIXEL; SPATIAL RESOLUTION; URBAN AREA;

EID: 84874544146     PISSN: 19391404     EISSN: 21511535     Source Type: Journal    
DOI: 10.1109/JSTARS.2008.2001154     Document Type: Article

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