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Título de Acceso Abierto

Artificial Intelligence for Multisource Geospatial Information

Resumen/Descripción – provisto por la editorial

No disponible.

Palabras clave – provistas por la editorial

geosemantics; implicit semantics; formal semantics; powerful semantics; satellite image; semantic segmentation; encoder–decoder; CNN; TH-1; cloud and snow detection; label quality; street crime; people on the street; streetscape; Baidu Street View image; spatial lag negative binomial regression; deep learning; convolutional neural network; backbone network; target detection; remote sensing images; segmentation; high resolution; transformer; OLAP; fuzzy SOLAP-based framework; fuzzy spatiotemporal queries; fuzzy spatiotemporal predictive query; fuzzy query visualization; machine learning; classification; LiDAR; 3D point cloud; urban trees; image feature vector; clustering; Siamese Network; automatic classification of tourist photos; deep learning model; Arabic tweets; COVID-19 pandemic; sentiment analysis; social data mining; spatio-temporal correlation; off-line integration of geo-tagged data sets; data sets about public places; soft integration methodology; effective soft integration through a stand-along tool; n/a

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Información

Tipo de recurso:

libros

ISBN electrónico

978-3-0365-6386-2

País de edición

Suiza

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