Detection service based on coherent point cloud analysis with AI methods using CENAGIS libraries

Published in:: Abstracts of the ICA
Vol. 8.2024 (11.11.2024), art. no. 27, p. 1-1
Volume:: 8.2024
Publication date:: 11.11.2024
URN:: urn:nbn:de:0307-20250821-001-2
DOI:: 10.5194/ica-abs-8-27-2024
Language:: English
Type of Resource:: Text
Extent:: 1 Online-Ressource (Seite 1-1, 725,88 kB) : 1 Tabelle, 1 Textdatei (PDF)
Keywords:: land cover detection; Lidar^GND; dense point cloud; Landbedeckungserkennung; dichte Punktwolke
DDC subject of DNB:: 520 Astronomy & allied sciences
URL:: https://doi.org/10.5194/ica-abs-8-27-2024
URL:: https://ica-abs.copernicus.org/articles/8/27/2024/
Link to Raw Object:: https://ica-abs.copernicus.org/articles/8/27/2024/ica-abs-8-27-2024.pdf
Hosting institution:: Warsaw University of Technology (WUT) [PL]
Hosting institution:: Internationale Forschungseinrichtungen
Statement of responsibility:: Agnieszka Wendland, Dariusz Gotlib, Kamil Choromański, Bogusław Kaczałek, Michał Stawowski
Bibliographic notes:: Published in: Abstracts of the ICA, Volume 8, 2024 - 2024 ICA Workshop on AI, Geovisualization, and Analytical Reasoning – CartoVis24; 7 September 2024, University of Warsaw, Warsaw, Poland; Editors: Arzu Cöltekin, Izabela Golebiowska, Pyry Kettunen, Jolanta Korycka-Skorupa, Anthony Robinson, Robert E. Roth, and Katarzyna Slomska-Przech | https://ica-abs.copernicus.org/articles/8/index.html