Text

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 (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.

---

Availability

No copy data

Detail Information

Series Title

-

Call Number

-

Publisher

Basel : MDPI - Multidisciplinary Digital Publishing Institute., 2023

Collation

-

Language

English

ISBN/ISSN

9783036563879

Classification

-

Content Type

text

Media Type

computer

Carrier Type

online resource

Edition

-

Subject(s)

geosemantics

Specific Detail Info

-

Statement of Responsibility

Bordogna, Gloria

Other Information

Cataloger

-

Source

https://directory.doabooks.org/handle/20.500.12854/96665

Validator

Suwardi

Digital Object Identifier (DOI)

10.3390/books978-3-0365-6386-2

Journal Volume

-

Journal Issue

-

Subtitle

-

Parallel Title

-

Other version/related

File Attachment

Comments

---

You must be logged in to post a comment