Artificial Intelligence for Multisource Geospatial Information

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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)

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

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