Mapping archeological signs from airborne lidar data using deep neural networks : Primary results
Küçükdemirci, Melda LU ; Landeschi, Giacomo LU ; Dell'Unto, Nicolo LU
and Ohlsson, Mattias
LU
(2021)
In ArcheoSciences
45.
p.291-293
- 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.
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/23a4984e-dd17-45e5-ba9f-dec714d0820e
- author
- Küçükdemirci, Melda
LU
; Landeschi, Giacomo
LU
; Dell'Unto, Nicolo
LU
and Ohlsson, Mattias
LU
- organization
- publishing date
- 2021
- type
- Chapter in Book/Report/Conference proceeding
- publication status
- published
- subject
- keywords
- Airborne LIDAR, Artificial intelligence, Deep neural networks, Feature extraction, Unet
- host publication
- 14th International Conference of Archaeological Prospection
- series title
- ArcheoSciences
- volume
- 45
- edition
- 1
- pages
- 3 pages
- external identifiers
-
- scopus:85118757995
- ISSN
- 1960-1360
- DOI
- 10.4000/archeosciences.10179
- project
- Under the canopy: reading past agrarian landscapes through the lens of artificial intelligence and remote sensing
- language
- English
- LU publication?
- yes
- id
- 23a4984e-dd17-45e5-ba9f-dec714d0820e
- date added to LUP
- 2021-12-02 14:54:32
- date last changed
- 2024-04-20 17:02:21
@inproceedings{23a4984e-dd17-45e5-ba9f-dec714d0820e,
abstract = {{<br/>– Complexity of large-scale Airborne LIDAR data: its processing, and interpretation emerges the necessity of automated analysis with novel techniques.<br/><br/>– Detection and documentation of archaeological ruins, hidden in the forests of the Swedish landscape.<br/>}},
author = {{Küçükdemirci, Melda and Landeschi, Giacomo and Dell'Unto, Nicolo and Ohlsson, Mattias}},
booktitle = {{14th International Conference of Archaeological Prospection}},
issn = {{1960-1360}},
keywords = {{Airborne LIDAR; Artificial intelligence; Deep neural networks; Feature extraction; Unet}},
language = {{eng}},
pages = {{291--293}},
series = {{ArcheoSciences}},
title = {{Mapping archeological signs from airborne lidar data using deep neural networks : Primary results}},
url = {{http://dx.doi.org/10.4000/archeosciences.10179}},
doi = {{10.4000/archeosciences.10179}},
volume = {{45}},
year = {{2021}},
}