Mapping Archeological Signs From Airborne Lidar Data Using Deep Neural Networks: Primary Results

Title: Mapping Archeological Signs From Airborne Lidar Data Using Deep Neural Networks: Primary Results
Creator(s): Küçükdemirci, Melda; Landeschi, Giacomo; Dell’Unto, Nicolo; Ohlsson, Mattias
Date: 2021
Is Part Of: ArcheoSciences. Revue d'archéométrie
Issue: 45
Pages: 291-293
Language: eng
Rights: https://creativecommons.org/licenses/by-nc-nd/4.0/
ISSN: 1960-1360
Short Title: Mapping Archeological Signs From Airborne Lidar Data Using Deep Neural Networks
DOI: https://doi.org/10.4000/archeosciences.10179
URI: https://journals.openedition.org/archeosciences/10179
Zotero BiDiAr: https://www.zotero.org/groups/5293298/bidiar/items/28RMSD7I/item-list
Abstract: – Complexity of large-scale Airborne LIDAR data: its processing, and interpretation emerges the necessity of automated analysis with novel techniques. – Detection and documentation of archaeological ruins, hidden in the forests of the Swedish landscape.

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