id
	13056
Url
	https://chloe.cnr.it/s/BiDiAr/item/13056
Resource template
	Academic Article
Resource class
	bibo:AcademicArticle
Title
	Mapping Archeological Signs From Airborne Lidar Data Using Deep Neural Networks: Primary Results
Creator
	Küçükdemirci, Melda
	Landeschi, Giacomo
	Dell’Unto, Nicolo
	Ohlsson, Mattias
Date
	2021
Language
	eng
Rights
	https://creativecommons.org/licenses/by-nc-nd/4.0/
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.
Is Part Of
	ArcheoSciences. Revue d'archéométrie
Doi
	https://doi.org/10.4000/archeosciences.10179
Issn
	1960-1360
Issue
	45
Pages
	291-293
Short title
	Mapping Archeological Signs From Airborne Lidar Data Using Deep Neural Networks
Uri
	https://journals.openedition.org/archeosciences/10179
Homepage
	https://www.zotero.org/groups/5293298/bidiar/items/28RMSD7I/item-list

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