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Towards the deep learning recognition of cultivated terraces based on Lidar data: The case of Slovenia Cover

Towards the deep learning recognition of cultivated terraces based on Lidar data: The case of Slovenia

Moravian Geographical Reports
Volume 32 (2024): Issue 1 (March 2024)
By: Rok Ciglič,  Anže Glušič,  Lenart Štaut and  Luka Čehovin Zajc  
Open Access
|Apr 2024

Authors

Rok Ciglič

rok.ciglic@zrc-sazu.si

Research Centre of the Slovenian Academy of Sciences and Arts, Ljubljana, Slovenia

Anže Glušič

Faculty of Computer and Information Science, University of Ljubljana, Ljubljana, Slovenia

Lenart Štaut

Research Centre of the Slovenian Academy of Sciences and Arts, Ljubljana, Slovenia

Luka Čehovin Zajc

Faculty of Computer and Information Science, University of Ljubljana, Ljubljana, Slovenia
DOI: https://doi.org/10.2478/mgr-2024-0006 | Journal eISSN: 2199-6202 | Journal ISSN: 1210-8812
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Language: English
Page range: 66 - 78
Submitted on: Aug 29, 2023
|
Accepted on: Feb 10, 2024
|
Published on: Apr 3, 2024
Published by: Czech Academy of Sciences, Institute of Geonics
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Keywords:
cultivated terraces,
deep learning,
landscapes,
digital elevation model,
feature detection,
Slovenia
Related subjects:
Business and economics,
Business management,
Industries,
Environmental management,
Geosciences,
Geography

© 2024 Rok Ciglič, Anže Glušič, Lenart Štaut, Luka Čehovin Zajc, published by Czech Academy of Sciences, Institute of Geonics
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

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