MLP feature extraction from coordinates for building footprint simplification using graph convolutional networks

Published in:: Abstracts of the ICA
Vol. 8.2024 (11.11.2024), art. no. 11, p. 1-2
Volume:: 8.2024
Publication date:: 11.11.2024
URN:: urn:nbn:de:0307-20250819-000-9
DOI:: 10.5194/ica-abs-8-11-2024
Language:: English
Type of Resource:: Text
Extent:: 1 Online-Ressource (Seite 1-1, 1,01 MB) : 2 Illustrationen, 2 Tabellen, 1 Textdatei (PDF)
Keywords:: building simplification; cartographic generalization; graph convolutional network; GCN; feature extraction; multilayer perceptron; MLP; Gebäudevereinfachung; Generalisierung <Kartografie>^GND; Graph-Faltungsnetzwerk; Merkmalsextraktion^GND; Mehrschichten-Perzeptron^GND
DDC subject of DNB:: 520 Astronomy & allied sciences
URL:: https://doi.org/10.5194/ica-abs-8-11-2024
URL:: https://ica-abs.copernicus.org/articles/8/11/2024/
Link to Raw Object:: https://ica-abs.copernicus.org/articles/8/11/2024/ica-abs-8-11-2024.pdf
Hosting institution:: Technical University of Berlin [DE]
Statement of responsibility:: Martin Kada, Julien Baerenzung, Lilli Kaufhold
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