Artificial Intelligence for Multisource Geospatial Information

• Muut tekijät: Bordogna, Gloria (Toimittaja), Fugazza, Cristiano (Toimittaja)
• Aineistotyyppi: Elektroninen Kirjan osa
• Kieli: englanti
• Julkaistu: Basel MDPI - Multidisciplinary Digital Publishing Institute 2023
• Aiheet: Technology: general issues; History of engineering & technology; 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
• Linkit: DOAB: download the publication; DOAB: description of the publication

This reprint collects 10 original research contributions published in the Special Issue entitled "Artificial Intelligence for Multisource Geospatial Information" of the ISPRS International Journal of Geo-Information. The focus is on different methods of Geospatial Artificial Intelligence (...