Using deep neural networks on airborne laser scanning data: Results from a case study of semi‐automatic mapping of archaeological topography on Arran, Scotland-Reference-Cited by-同舟云学术

Using deep neural networks on airborne laser scanning data: Results from a case study of semi‐automatic mapping of archaeological topography on Arran, Scotland

Published:2018-11-29 Issue:2 Volume:26 Page:165-175
ISSN:1075-2196
Container-title:Archaeological Prospection
language:en
Short-container-title:Archaeological Prospection

Author:

Trier Øivind Due¹^ORCID,Cowley David C.²,Waldeland Anders Ueland¹

Affiliation:

1. Section for Earth ObservationNorwegian Computing Center Oslo Norway

2. Historic Environment Scotland Edinburgh UK

Funder

Royal Society of Edinburgh

Publisher

Wiley

Subject

Archeology,History

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/arp.1731

Reference31 articles.

1. Towards national archaeological mapping. Assessing source data and methodology—a case study from Scotland;Banaszek Ł.;Geosciences,2018

2. The data explosion: tackling the taboo of automatic feature recognition in airborne survey data

3. Detecting Roman land boundaries in aerial photographs using Radon transforms

4. An approach to the automatic surveying of prehistoric barrows through LiDAR

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