Artificial Intelligence for Multisource Geospatial Information / edited by Gloria Bordogna, Cristiano Fugazza.

Format:

Book

Contributor:

Bordogna, Gloria, editor.

Fugazza, Cristiano, editor.

Language:

English

Subjects (All):

Artificial intelligence.

Physical Description:

1 online resource (254 pages)

Place of Publication:

[Place of publication not identified] : MDPI - Multidisciplinary Digital Publishing Institute, 2023.

Summary:

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.

Contents:

Introduction

GeoAI for Mining Geotagged, User-Generated Content and Traces

Remote-Sensing Spatial-Temporal Data for Environmental Monitoring

Methodological Approaches to Dealing with Multisource and Multidimensional Numeric and Alphanumeric Spatial-Temporal Data

Conclusions

Author Contributions

Funding

Acknowledgments

Conflicts of Interest

References.

Notes:

Description based on publisher supplied metadata and other sources.

ISBN:

3-0365-6386-5