SAR data classification of urban areas by means of segmentation techniques and ancillary optical data

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

Volumn 5, Issue 4, 2012, Pages 1140-1148

  Gamba, Paolo ^a   Aldrighi, Massimiliano ^a  

^a UNIVERSITY OF PAVIA   (Italy)

Author keywords

SAR; segmentation; textures; urban land use

Indexed keywords

BUILT-UP AREAS; DATA SETS; GRAY LEVEL CO-OCCURRENCE MATRIX; MEGACITIES; OPTICAL DATA; SAR; SAR DATA; SAR DATA CLASSIFICATION; SAR IMAGES; SEGMENTATION TECHNIQUES; SPATIAL CORRELATIONS; SUPERVISED CLASSIFIERS; TEST CASE; URBAN AREAS; URBAN LAND USE; URBAN SPRAWL;

EXTRATERRESTRIAL ATMOSPHERES; IMAGE SEGMENTATION; OBSERVATORIES; TEXTURES;

SYNTHETIC APERTURE RADAR;

ALGORITHM; IMAGE CLASSIFICATION; LAND COVER; LAND USE; MAPPING; REMOTE SENSING; SYNTHETIC APERTURE RADAR; URBAN AREA;

BEIJING [BEIJING (ADS)]; BEIJING [CHINA]; CHINA; SHANGHAI;

EID: 84864743947     PISSN: 19391404     EISSN: 21511535     Source Type: Journal    
DOI: 10.1109/JSTARS.2012.2195774     Document Type: Article

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