Generating analysis-ready geospatial products from national historical air photos

Category

Published in:

Abstracts of the ICA
Vol. 10.2025 (15.12.2025), art. no. 257, p. 1-2

Volume:

10.2025

Publication date:

15.12.2025

URN:

urn:nbn:de:0307-20260410-007-0

DOI:

10.5194/ica-abs-10-257-2025

Language:

English

Type of Resource:

Text

Extent:

1 Online-Ressource (Seite 1-2, 947,77 kB) : 3 Illustrationen, 1 Textdatei (PDF)

Keywords:

Historical Air Photos; Deep Learning^GND; Photogrammetry; Feature Matching; Image Alignment; Deep Super-resolution; Deep Colorization; Semantic Segmentation; historisches Luftbild; tiefgehendes Lernen; Fotogrammetrie^GND; Merkmalsabgleich; Bildausrichtung; tiefgehende Superauflösung; tiefgehende Kolorierung; Semantische Segmentierung^GND

DDC subject of DNB:

520 Astronomy & allied sciences

URL:

https://doi.org/10.5194/ica-abs-10-257-2025

URL:

https://ica-abs.copernicus.org/articles/10/257/2025/

Link to Raw Object:

https://ica-abs.copernicus.org/articles/10/257/2025/ica-abs-10-257-2025.pdf

Hosting institution:

Natural Resources Canada (NRCan) [CA]

Hosting institution:

University of Calgary (UC) [CA]

Hosting institution:

Internationale Forschungseinrichtungen

Statement of responsibility:

Mozhdeh Shahbazi, Evangelos Bousias Alexakis, Mikhail Sokolov, Ella Mahoro, Victor Alhassan, Pierre Gravel, Mathieu Turgeon-Pelchat

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