Land cover classification using multi-temporal SAR data and optical data fusion with adaptive training sample selection

International Geoscience and Remote Sensing Symposium (IGARSS)

Volumn , Issue , 2012, Pages 6177-6180

  Chureesampant, Kamolratn ^a   Susaki, Junichi ^a  

^a KYOTO UNIVERSITY   (Japan)

Author keywords

Bayesian classification theory; Landcover classification; multi temporal synthetic aperture radar (SAR) data; texture; training sample selection

Indexed keywords

ADAPTIVE TRAINING; BACKSCATTERING COEFFICIENTS; BAYESIAN CLASSIFICATION; BAYESIAN CLASSIFIER; BAYESIAN THEORY; BUILT-UP AREAS; CLASSIFICATION ACCURACY; CLASSIFICATION FRAMEWORK; CLASSIFICATION RESULTS; GRAY LEVEL CO-OCCURRENCE MATRIX; LAND-COVER CLASSIFICATION; MULTI-TEMPORAL; MULTI-TEMPORAL SAR; OPTICAL DATA; QUALITY TRAINING; REFLECTANCE VALUES; SINGLE POLARIZATION; SMOOTHING EFFECTS; STUDY AREAS; TEMPORAL VARIABILITY; TRAINING SAMPLE; TRAINING SAMPLE SELECTION; WATERBODIES;

BACKSCATTERING; DATA FUSION; GEOLOGY; REMOTE SENSING; SAMPLING; TEXTURES;

SYNTHETIC APERTURE RADAR;

EID: 84873121317     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IGARSS.2012.6352667     Document Type: Conference Paper

References (6)

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