Juergen Landauer
Biographic Data
| ID | 6631580 |
|---|---|
| NAME | Juergen Landauer |
| GIVEN NAMES | Juergen |
| FAMILY NAME | Landauer |
| SIGNATURE | LANDAUER J |
| AFFILIATIONS | Independent researcher Ludwigsburg Germany |
| VERIFIED | No |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 7 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2020 |
| LATEST PUBLICATION YEAR | 2021 |
| H-INDEX | 2 |
New developments in drone‐based automated surface survey
This paper presents new developments on drone‐based automated survey for the detection of individual items or fragments of material culture visible on the ground surface. Since the publication of our original proof of concept, awarded with the Journal of Archaeological Science and Society for Archaeological Sciences Emerging Investigator Award 2019, additional funding has allowed us to implement a series of improvements to the method. These aim t…
Using CarcassonNet to automatically detect and trace hollow roads in LiDAR data from the Netherlands
The systematic mapping of hollow roads, traces of (post)medieval sunken cart tracks ways, can provide information on past human movement and historical route networks. However, the sheer amount of traces and of available high-quality data necessitates the use of computational methods for the automatic detection of these archaeological objects. Therefore, a novel approach, named CarcassonNet, has been developed that uses a combination of a Deep Le…
Using CarcassonNet to automatically detect and trace hollow roads in LiDAR data from the Netherlands
The systematic mapping of hollow roads, traces of (post)medieval sunken cart tracks ways, can provide information on past human movement and historical route networks. However, the sheer amount of traces and of available high-quality data necessitates the use of computational methods for the automatic detection of these archaeological objects. Therefore, a novel approach, named CarcassonNet, has been developed that uses a combination of a Deep Le…
New developments in drone‐based automated surface survey
This paper presents new developments on drone‐based automated survey for the detection of individual items or fragments of material culture visible on the ground surface. Since the publication of our original proof of concept, awarded with the Journal of Archaeological Science and Society for Archaeological Sciences Emerging Investigator Award 2019, additional funding has allowed us to implement a series of improvements to the method. These aim t…
Using CarcassonNet to automatically detect and trace hollow roads in LiDAR data from the Netherlands
The systematic mapping of hollow roads, traces of (post)medieval sunken cart tracks ways, can provide information on past human movement and historical route networks. However, the sheer amount of traces and of available high-quality data necessitates the use of computational methods for the automatic detection of these archaeological objects. Therefore, a novel approach, named CarcassonNet, has been developed that uses a combination of a Deep Le…
New developments in drone‐based automated surface survey
This paper presents new developments on drone‐based automated survey for the detection of individual items or fragments of material culture visible on the ground surface. Since the publication of our original proof of concept, awarded with the Journal of Archaeological Science and Society for Archaeological Sciences Emerging Investigator Award 2019, additional funding has allowed us to implement a series of improvements to the method. These aim t…
Archaeological Research and Protection (2 works) · Artificial Intelligence (2 works) · Computer Science (2 works) · Engineering (2 works) · Geography (2 works) · Remote sensing (2 works) · 3D Surveying and Cultural Heritage (1 work) · Aerial Survey (1 work) · Archaeology (1 work) · Archaeology and ancient environmental studies (1 work)