An analysis of texture measures in PCA-based unsupervised classification of SAR images

IEEE Geoscience and Remote Sensing Letters

Volumn 6, Issue 2, 2009, Pages 214-218

  Chamundeeswari, Vijaya V ^a   Singh, Dharmendra ^a   Singh, Kuldip ^a  

^a INDIAN INSTITUTE OF TECHNOLOGY ROORKEE   (India)

Author keywords

Feature extraction; Principal component analysis (PCA); SAR image; Textural features; Unsupervised classification

Indexed keywords

CLASSIFICATION ACCURACIES; CLASSIFICATION PROCESS; DISCRIMINATIVE ABILITIES; FEATURE SETS; INFORMATION SOURCES; LACUNARITY; LAND COVER CLASSIFICATIONS; LAND-COVER TYPES; PRINCIPAL COMPONENT ANALYSIS (PCA); REAL-WORLD; SAR DATUM; SAR IMAGE; SEMI-VARIOGRAM; TEXTURAL FEATURES; TEXTURE PATTERNS; UNSUPERVISED CLASSIFICATION; WAVELET COMPONENTS;

FEATURE EXTRACTION; IMAGE ANALYSIS; IMAGE CLASSIFICATION; LANDFORMS; SYNTHETIC APERTURES; TEXTURES;

PRINCIPAL COMPONENT ANALYSIS;

EID: 67349260170     PISSN: 1545598X     EISSN: None     Source Type: Journal    
DOI: 10.1109/LGRS.2008.2009954     Document Type: Article

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