Self-supervised representation learning for geospatial objects: A survey

Chen, Y., Huang, W. orcid.org/0000-0002-3208-4208, Zhao, K. et al. (2 more authors) (2025) Self-supervised representation learning for geospatial objects: A survey. Information Fusion, 123. 103265. ISSN 1566-2535

Abstract

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Item Type: Article
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This is an author produced version of an article published in Information Fusion, made available under the terms of the Creative Commons Attribution License (CC-BY), which permits unrestricted use, distribution and reproduction in any medium, provided the original work is properly cited.

Keywords: Geospatial artificial intelligence, Spatial data mining, Self-supervised learning, Spatial representation learning, Geospatial foundation models
Dates:
  • Accepted: 22 April 2025
  • Published (online): 9 May 2025
  • Published: November 2025
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Environment (Leeds) > School of Geography (Leeds)
Depositing User: Symplectic Publications
Date Deposited: 19 May 2025 14:04
Last Modified: 20 May 2025 15:01
Published Version: https://www.sciencedirect.com/science/article/pii/...
Status: Published
Publisher: Elsevier
Identification Number: 10.1016/j.inffus.2025.103265
Open Archives Initiative ID (OAI ID):

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