Relief classification using artificial neural networks

Category

Published in:

Abstracts of the ICA
Vol. 10.2025 (16.12.2025), art. no. 300, p. 1-2

Volume:

10.2025

Publication date:

16.12.2025

URN:

urn:nbn:de:0307-20260505-004-6

DOI:

10.5194/ica-abs-10-300-2025

Language:

English

Type of Resource:

Text

Extent:

1 Online-Ressource (Seite 1-2, 780,07 kB) : 1 Textdatei (PDF)

Keywords:

relief classification; geomorphometry; geological context; artificial neural networks; machine learning; Reliefklassifikation; Geomorphometrie; geologischer Kontext; Neuronales Netz^GND; Maschinelles Lernen^GND

DDC subject of DNB:

520 Astronomy & allied sciences

URL:

https://doi.org/10.5194/ica-abs-10-300-2025

URL:

https://ica-abs.copernicus.org/articles/10/300/2025/

Link to Raw Object:

https://ica-abs.copernicus.org/articles/10/300/2025/ica-abs-10-300-2025.pdf

Hosting institution:

Military Institute for Engineering Technology (WITI) [PL]

Hosting institution:

University of Wroclaw (UWr) [PL]

Hosting institution:

Internationale Forschungseinrichtungen

Statement of responsibility:

Małgorzata Wieczorek, Wojciech Przybył

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