[HTML][HTML] Combining deep learning and location-based ranking for large-scale archaeological prospection of LiDAR data from the Netherlands

WB Verschoof-van der Vaart, K Lambers… - … International Journal of …, 2020 - mdpi.com
This paper presents WODAN2. 0, a workflow using Deep Learning for the automated
detection of multiple archaeological object classes in LiDAR data from the Netherlands …

[PDF][PDF] Combining Deep Learning and Location-Based Ranking for Large-Scale Archaeological Prospection of LiDAR Data from The Netherlands

WB Verschoof-van der Vaart, K Lambers, W Kowalczyk… - scholarlypublications …
This paper presents WODAN2. 0, a workflow using Deep Learning for the automated
detection of multiple archaeological object classes in LiDAR data from the Netherlands …

Combining Deep Learning and Location-Based Ranking for Large-Scale Archaeological Prospection of LiDAR Data from The Netherlands

WB Verschoof-van der Vaart… - … Journal of Geo …, 2020 - search.proquest.com
Abstract This paper presents WODAN2. 0, a workflow using Deep Learning for the
automated detection of multiple archaeological object classes in LiDAR data from the …

[引用][C] Combining Deep Learning and Location-Based Ranking for Large-Scale Archaeological Prospection of LiDAR Data from The Netherlands

WB Verschoof-van der Vaart… - … Journal of Geo …, 2020 - ui.adsabs.harvard.edu
Combining Deep Learning and Location-Based Ranking for Large-Scale Archaeological
Prospection of LiDAR Data from The Netherlands - NASA/ADS Now on home page ads icon ads …

[PDF][PDF] Combining Deep Learning and Location-Based Ranking for Large-Scale Archaeological Prospection of LiDAR Data from The Netherlands

WB Verschoof-van der Vaart, K Lambers, W Kowalczyk… - pdfs.semanticscholar.org
This paper presents WODAN2. 0, a workflow using Deep Learning for the automated
detection of multiple archaeological object classes in LiDAR data from the Netherlands …

Combining Deep Learning and Location-Based Ranking for Large-Scale Archaeological Prospection of LiDAR Data from The Netherlands

WB Verschoof-van der Vaart, K Lambers, W Kowalczyk… - agris.fao.org
This paper presents WODAN2. 0, a workflow using Deep Learning for the automated
detection of multiple archaeological object classes in LiDAR data from the Netherlands …

[PDF][PDF] Combining Deep Learning and Location-Based Ranking for Large-Scale Archaeological Prospection of LiDAR Data from The Netherlands

WB Verschoof-van der Vaart, K Lambers, W Kowalczyk… - academia.edu
This paper presents WODAN2. 0, a workflow using Deep Learning for the automated
detection of multiple archaeological object classes in LiDAR data from the Netherlands …

Combining Deep Learning and Location-Based Ranking for Large-Scale Archaeological Prospection of LiDAR Data from The Netherlands.

WB Verschoof-van der Vaart… - … Journal of Geo …, 2020 - search.ebscohost.com
Abstract This paper presents WODAN2. 0, a workflow using Deep Learning for the
automated detection of multiple archaeological object classes in LiDAR data from the …

[PDF][PDF] Combining Deep Learning and Location-Based Ranking for Large-Scale Archaeological Prospection of LiDAR Data from The Netherlands

WB Verschoof-van der Vaart, K Lambers, W Kowalczyk… - researchgate.net
This paper presents WODAN2. 0, a workflow using Deep Learning for the automated
detection of multiple archaeological object classes in LiDAR data from the Netherlands …

Combining Deep Learning and Location-Based Ranking for Large-Scale Archaeological Prospection of LiDAR Data from The Netherlands

WB Verschoof, K Lambers… - … Journal of Geo …, 2020 - scholarlypublications …
This paper presents WODAN2. 0, a workflow using Deep Learning for the automated
detection of multiple archaeological object classes in LiDAR data from the Netherlands …