A 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-Reference-Cited by-同舟云学术

A 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

Published:2021-02-02 Issue: Volume: Page:
ISSN:1075-2196
Container-title:Archaeological Prospection
language:en
Short-container-title:Archaeological Prospection

Author:

Bonhage Alexander¹,Eltaher Mahmoud²,Raab Thomas¹,Breuß Michael²,Raab Alexandra³,Schneider Anna¹

Affiliation:

1. Brandenburg University of Technology Cottbus‐Senftenberg ‐ Chair of Geopedololgy and Landscape Development Cottbus Germany

2. Brandenburg University of Technology Cottbus‐Senftenberg ‐ Chair of Applied Mathematics Cottbus Germany

3. Brandenburg University of Technology Cottbus‐Senftenberg ‐ Chair of Environmental Economics Cottbus Germany

Publisher

Wiley

Subject

Archeology,History

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/arp.1806

Reference63 articles.

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4. Reduced above-ground growth and wood density but increased wood chemical concentrations of Scots pine on relict charcoal hearths

5. Identifying Landscape Modification using Open Data and Tools: The Charcoal Hearths of the Blue Mountain, Pennsylvania

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