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

scientific article

Combining Deep Learning and Location-Based Ranking for Large-Scale Archaeological Prospection of LiDAR Data from The Netherlands is …
instance of (P31):
scholarly articleQ13442814

External links are
P356DOI10.3390/IJGI9050293

P50authorKarsten LambersQ64504796
P2093author name stringWouter B. Verschoof-van der Vaart
Wojtek Kowalczyk
Quentin P.J. Bourgeois
P2860cites workAssessing data quality in citizen scienceQ56687040
The potential of airborne lidar for detection of archaeological features under woodland canopiesQ59129513
P275copyright licenseCreative Commons Attribution 4.0 InternationalQ20007257
P6216copyright statuscopyrightedQ50423863
P433issue5
P921main subjectdeep learningQ197536
lidarQ504027
P304page(s)293
P577publication date2020-05-01
P1433published inInternational Journal of Geo InformationQ27725283
P1476titleCombining Deep Learning and Location-Based Ranking for Large-Scale Archaeological Prospection of LiDAR Data from The Netherlands
P478volume9

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cites work (P2860)
Q119414380A modified Mask region‐based convolutional neural network approach for the automated detection of archaeological sites on high‐resolution light detection and ranging‐derived digital elevation models in the North German Lowland
Q119415188Applying automated object detection in archaeological practice: A case study from the southern Netherlands
Q119416774Automated large‐scale mapping and analysis of relict charcoal hearths in Connecticut (USA) using a Deep Learning YOLOv4 framework
Q119416560Automated methods for image detection of cultural heritage: Overviews and perspectives
Q119416598Field systems and later prehistoric land use: New insights into land use detectability and palaeodemography in the Netherlands through LiDAR, automatic detection and traditional field data
Q114871951Implementing State-of-the-Art Deep Learning Approaches for Archaeological Object Detection in Remotely-Sensed Data: The Results of Cross-Domain Collaboration
Q125475030Lidar visualization techniques for the construction of geoarchaeological deposit models: An overview and evaluation in alluvial environments
Q119415949Potential and limitations of LiDAR altimetry in archaeological survey. Copper Age and Bronze Age settlements in southern Iberia

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