Dublin Core
Title
Artificial Intelligence for Multisource Geospatial Information
Subject
Artificial Intelligence Engineering
Description
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.
Creator
Bordogna, Gloria (editor)
Fugazza, Cristiano (editor)
Fugazza, Cristiano (editor)
Source
https://directory.doabooks.org/handle/20.500.12854/96665
Publisher
MDPI - Multidisciplinary Digital Publishing Institute
Date
2023
Contributor
dwi marina
Rights
https://creativecommons.org/licenses/by/4.0/
Format
Pdf
Language
english
Type
Textbooks
Identifier
DOI
10.3390/books978-3-0365-6386-2
ISBN
9783036563879, 9783036563862
10.3390/books978-3-0365-6386-2
ISBN
9783036563879, 9783036563862