Artificial Intelligence for Multisource Geospatial Information

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 (...

Volledige beschrijving

Bewaard in:
Bibliografische gegevens
Andere auteurs: Bordogna, Gloria (Redacteur), Fugazza, Cristiano (Redacteur)
Formaat: Elektronisch Hoofdstuk
Taal:Engels
Gepubliceerd in: Basel MDPI - Multidisciplinary Digital Publishing Institute 2023
Onderwerpen:
Online toegang:DOAB: download the publication
DOAB: description of the publication
Tags: Voeg label toe
Geen labels, Wees de eerste die dit record labelt!
Omschrijving
Samenvatting: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.
Fysieke beschrijving:1 electronic resource (254 p.)
ISBN:books978-3-0365-6386-2
9783036563879
9783036563862
Toegang:Open Access