Interpreting morphological prototype of urban form using CNN and prototype learning

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published

Published in:: Abstracts of the ICA
Vol. 10.2025 (12.12.2025), art. no. 34, p. 1-2
Volume:: 10.2025
Publication date:: 12.12.2025
URN:: urn:nbn:de:0307-20260119-001-0
DOI:: 10.5194/ica-abs-10-34-2025
Language:: English
Type of Resource:: Text
Extent:: 1 Online-Ressource (Seite 1-2, 849,67 kB) : 1 Illustration, 1 Textdatei (PDF)
Keywords:: urban morphology; urban form; morphological prototype; explainable AI; prototype learning; urbane Morphologie; Stadtform; morphologischer Prototyp; Erklärbare künstliche Intelligenz^GND; Prototyp-Lernen
DDC subject of DNB:: 520 Astronomy & allied sciences
URL:: https://doi.org/10.5194/ica-abs-10-34-2025
URL:: https://ica-abs.copernicus.org/articles/10/34/2025/
Link to Raw Object:: https://ica-abs.copernicus.org/articles/10/34/2025/ica-abs-10-34-2025.pdf
Hosting institution:: Sun Yat-Sen University (SYSU) [CN]
Hosting institution:: Technical University of Munich (TUM) [DE]
Hosting institution:: Internationale Forschungseinrichtungen
Statement of responsibility:: Dongsheng Chen, Xun Li, Liqiu Meng
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