Skip to main content

ETHNOS_APP

Home • Search • Journals • List 0

Anders U Waldeland

Biographic Data

ID6632321
NAMEAnders U Waldeland
GIVEN NAMESAnders U
FAMILY NAMEWaldeland
SIGNATUREWALDELAND A U
AFFILIATIONSNorwegian Computing Center
ORCID0000-0003-2795-3867
VERIFIEDYes
TOTAL WORKS1
TOTAL CITATIONS17
AUTHOR COUNT1
EDITOR COUNT0
FIRST PUBLICATION YEAR2018
LATEST PUBLICATION YEAR2018
H-INDEX1
  • Using deep neural networks on airborne laser scanning data

    Open Access•Øivind Due Trier, Dave Cowley et al.•ARTICLE•Archaeological Prospection•2018•Cited by: 17•References: 7

    This article presents results of a case study within a project that seeks to develop heavily automated analysis of digital topographic data to extract archaeological information and to expedite large area mapping. Drawing on developments in computer vision and machine learning, this has the potential to fundamentally recast the capacity of archaeological prospection to cover large areas and deal with mass data, breaking a dependency on human reso…

  • Using deep neural networks on airborne laser scanning data

    Open Access•Øivind Due Trier, Dave Cowley et al.•ARTICLE•Archaeological Prospection•2018•Cited by: 17•References: 7

    This article presents results of a case study within a project that seeks to develop heavily automated analysis of digital topographic data to extract archaeological information and to expedite large area mapping. Drawing on developments in computer vision and machine learning, this has the potential to fundamentally recast the capacity of archaeological prospection to cover large areas and deal with mass data, breaking a dependency on human reso…

  • Using deep neural networks on airborne laser scanning data

    Open Access•Øivind Due Trier, Dave Cowley et al.•ARTICLE•Archaeological Prospection•2018•Cited by: 17•References: 7

    This article presents results of a case study within a project that seeks to develop heavily automated analysis of digital topographic data to extract archaeological information and to expedite large area mapping. Drawing on developments in computer vision and machine learning, this has the potential to fundamentally recast the capacity of archaeological prospection to cover large areas and deal with mass data, breaking a dependency on human reso…

3D Surveying and Cultural Heritage (1 work) · Archaeological Research and Protection (1 work) · Archaeology (1 work) · Artificial Intelligence (1 work) · Cartography (1 work) · Computer Science (1 work) · Context (archaeology (1 work) · False positive paradox (1 work) · Geography (1 work) · Metadata (1 work)

Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae