Effects of point cloud density and DEM resolution to CNN recognition of small watercourses

Category

Published in:

Abstracts of the ICA
Vol. 9.2025 (14.03.2025), art. no. 29, p. 1-2

Volume:

9.2025

Publication date:

14.03.2025

URN:

urn:nbn:de:0307-20250812-008-4

DOI:

10.5194/ica-abs-9-29-2025

Language:

English

Type of Resource:

Text

Extent:

1 Online-Ressource (Seite 1-2, 823,74 kB) : 1 Illustration, 1 Tabelle, 1 Textdatei (PDF)

Keywords:

machine learning; watercourse; point cloud; resolution; hydrography; topographic data; Maschinelles Lernen^GND; Wasserlauf; Punktwolke^GND; Auflösung; Hydrografie; topografische Daten

DDC subject of DNB:

520 Astronomy & allied sciences

URL:

https://doi.org/10.5194/ica-abs-9-29-2025

URL:

https://ica-abs.copernicus.org/articles/9/29/2025/

Link to Raw Object:

https://ica-abs.copernicus.org/articles/9/29/2025/ica-abs-9-29-2025.pdf

Hosting institution:

National Land Survey of Finland (NLS) [FI]

Hosting institution:

Internationale Forschungseinrichtungen

Statement of responsibility:

Justus Poutanen, Pyry Kettunen, Anssi Jussila, Juha Oksanen, Christian Koski

Bibliographic notes:

Published in: Abstracts of the ICA, Volume 9, 2025 - RIMMA2025 - International Conference on Forecasting, Preparedness, Warning, and Response. Visualization, Communication, and Information Management; 28–31 January 2025, University of Bern, Switzerland; Editors: Christophe Lienert, Andreas Paul Zischg, Horst Kremers, Jamie McCaughey, Lara Zinkl, and David N. Bresch | https://ica-abs.copernicus.org/articles/9/index.html