![Foto på Mattias Ohlsson](/sv/sites/cec.lu.se.sv/files/styles/lu_personal_page_desktop/public/2023-02/Mattias%20Ohlsson.jpg.webp?itok=4Daqlihc)
Mattias Ohlsson
Professor
![Foto på Mattias Ohlsson](/sv/sites/cec.lu.se.sv/files/styles/lu_personal_page_desktop/public/2023-02/Mattias%20Ohlsson.jpg.webp?itok=4Daqlihc)
Mapping archeological signs from airborne lidar data using deep neural networks : Primary results
Författare
Summary, in English
– 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.
Avdelning/ar
- Arkeologi
- Digital Archaeology Laboratory DARK Lab
- eSSENCE: The e-Science Collaboration
- Beräkningsbiologi och biologisk fysik - Har omorganiserats
Publiceringsår
2021
Språk
Engelska
Sidor
291-293
Publikation/Tidskrift/Serie
ArcheoSciences
Volym
45
Dokumenttyp
Konferensbidrag
Ämne
- Computer and Information Science
- Archaeology
Nyckelord
- Airborne LIDAR
- Artificial intelligence
- Deep neural networks
- Feature extraction
- Unet
Aktiv
Published
Forskningsgrupp
- Digital Archaeology Laboratory DARK Lab
ISBN/ISSN/Övrigt
- ISSN: 1960-1360