Intelligent landslide hazard mapping method integrating SSGAN and GIS spatial modeling

Category

Published in:

Abstracts of the ICA
Vol. 10.2025 (12.12.2025), art. no. 184, p. 1-1

Volume:

10.2025

Publication date:

12.12.2025

URN:

urn:nbn:de:0307-20260226-007-0

DOI:

10.5194/ica-abs-10-184-2025

Language:

English

Type of Resource:

Text

Extent:

1 Online-Ressource (Seite 1-1, 778,13 kB) : 1 Textdatei (PDF)

Keywords:

Semi-supervised learning; Generative adversarial networks; Landslide recognition; Machine learning; Insufficient samples; halbüberwachtes Lernen; generative gegnerische Netzwerke; Erdrutscherkennung; Maschinelles Lernen^GND; unzureichende Trainingsdaten

DDC subject of DNB:

520 Astronomy & allied sciences

URL:

https://doi.org/10.5194/ica-abs-10-184-2025

URL:

https://ica-abs.copernicus.org/articles/10/184/2025/

Link to Raw Object:

https://ica-abs.copernicus.org/articles/10/184/2025/ica-abs-10-184-2025.pdf

Hosting institution:

Chinese Academy of Surveying and Mapping (CASM) [CN]

Hosting institution:

Internationale Forschungseinrichtungen

Statement of responsibility:

Wenjuan Lu, Xi Mao, and Yao Cheng

Bibliographic notes:

Published in: Abstracts of the ICA, Volume 10, 2025 - 32nd International Cartographic Conference (ICC 2025); 17–22 August 2025, Vancouver, Canada; Editors: Mir Abolfazl Mostafavi, Jonathan Li, and Emmanuel Stefanakis | https://ica-abs.copernicus.org/articles/10/index.html