Influence of data source and training size on impervious surface areas classification using VHR satellite and aerial imagery through an object-based approach

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

Volumn 7, Issue 12, 2014, Pages 4681-4691

  Fernández, Ismael ^a   Aguilar, Fernando J ^a   Aguilar, Manuel A ^a   Álvarez, M Flor ^b  

^a UNIVERSITY OF ALMERÍA   (Spain)

^b UNIVERSITY OF LEÓN   (Spain)

Author keywords

Archival orthoimage; GeoEye 1; Impervious surface area (ISA); Object based image analysis (OBIA); Support vector machine (SVM); Texture feature; Very high resolution (VHR) satellite imagery; WorldView 2

Indexed keywords

AERIAL PHOTOGRAPHY; IMAGE ANALYSIS; IMAGE TEXTURE; SATELLITE IMAGERY; SATELLITES; SUPPORT VECTOR MACHINES; TEXTURES;

GEOEYE-1; IMPERVIOUS SURFACE AREA; OBJECT BASED IMAGE ANALYSIS (OBIA); ORTHOIMAGES; TEXTURE FEATURES; VERY HIGH RESOLUTION; WORLDVIEW-2;

CLASSIFICATION (OF INFORMATION);

ACCURACY ASSESSMENT; ALGORITHM; GEOEYE; IMAGE ANALYSIS; IMAGE CLASSIFICATION; SATELLITE IMAGERY; WORLDVIEW;

ALMERIA [ANDALUCIA]; ANDALUCIA; SPAIN;

EID: 85027950443     PISSN: 19391404     EISSN: 21511535     Source Type: Journal    
DOI: 10.1109/JSTARS.2014.2327159     Document Type: Article

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