Artificial Intelligence for Multisource Geospatial Information

• Format: eBook
• Language: English
• Published: Basel MDPI - Multidisciplinary Digital Publishing Institute 2023
• Subjects: History of engineering and technology; Technology: general issues; 3D point cloud; Arabic tweets; automatic classification of tourist photos; backbone network; Baidu Street View image; classification; cloud and snow detection; clustering; CNN; convolutional neural network; COVID-19 pandemic; data sets about public places; deep learning; deep learning model; effective soft integration through a stand-along tool; encoder-decoder; formal semantics; fuzzy query visualization; fuzzy SOLAP-based framework; fuzzy spatiotemporal predictive query; fuzzy spatiotemporal queries; geosemantics; high resolution; image feature vector; implicit semantics; label quality; LiDAR; machine learning; n/a; off-line integration of geo-tagged data sets; OLAP; people on the street; powerful semantics; remote sensing images; satellite image; segmentation; semantic segmentation; sentiment analysis; Siamese Network; social data mining; soft integration methodology; spatial lag negative binomial regression; spatio-temporal correlation; street crime; streetscape; target detection; TH-1; transformer; urban trees
• Online Access: Open Access: DOAB: description of the publication; Open Access: DOAB, download the publication
• Physical Description: 1 online resource (254 p.)
• ISBN: 9783036563862; 9783036563879; books978-3-0365-6386-2
• Access: Open Access

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 (GeoAI) based on deep learning using different network architectures, clustering, soft computing, and semantic approaches. They are proposed to deal with a variety of Geospatial Big Data (GBD), such as georeferenced texts and photos in social networks, remote sensing images, cartographic maps, multidimensional geo databases, metadata in spatial data infrastructures, and for different tasks, such as for multisource georeferenced text integration and geodata flexible querying, for social sensing by applying sentiment analysis, clustering and geo analysis, for segmentation of roads, clouds and snow, and for detection of small targets and people on the streets.