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The deep learning method applied to the detection and mapping of stone deterioration in open-air sanctuaries of the Hittite period in Anatolia

Dados Bibliográficos

ID4716637
AutoresErgün Hatır (Necmettin Erbakan University, autor correspondente), Mustafa Korkanç (0000-0001-7382-8077, Niğde Ömer Halisdemir Üniversitesi), Andreas Schachner (0000-0001-6886-7098, Deutsches Archäologisches Institut, Abteilung Istanbul), Ismail Ince (0000-0002-6692-7584, Konya Technical University)
Ano2021
Volume51
Páginas37-49
Data de publicação2021-09-01
Peer ReviewedSim
Open AccessSim
TipoARTICLE
PeriódicoJournal of Cultural Heritage (JOURNAL)
Identificadores do periódicoISSN: 1296-2074 • E-ISSN: 1778-3674
EditoraElsevier BV (PUBLISHER)
DOI10.1016/j.culher.2021.07.004
OpenAlexW3188751775
IdiomaEN
Citações recebidas5
Referências citadas18

Archaeology · Art · Cultural heritage · Deep learning · Geography · Geometry · Scaling · Archaeological Research and Protection · Building materials and conservation · Computer Science · Conservation Techniques and Studies · Engineering · Mathematics · Artificial Intelligence · Geology

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    Open Access•Aya Mohamed ElBehairy, Aya ElBehairy et al.•Journal of Cultural Heritage•2026

  • Artificial intelligence-assisted visual inspection for cultural heritage

    Open Access•M Mishra, Paulo B Lourenço•Journal of Cultural Heritage•2024

  • Automatic monitoring of the bio colonisation of historical building's facades through convolutional neural networks (CNN)

    Open Access•Marco D''Orazio, Andrea Gianangeli et al.•Journal of Cultural Heritage•2024

  • Defect detection

    Open Access•Zhiyang Zhang, Hai Zhang et al.•Journal of Cultural Heritage•2023

  • Deterioration identification of stone cultural heritage based on hyperspectral image texture features

    Open Access•Xingyue Li, Haiqing Yang et al.•Journal of Cultural Heritage•2024

  • Learning to Look at LiDAR

    Open Access•Wouter B Verschoof-Van Der Vaart, Karsten Lambers•Journal of Computer Applications…•2019

  • Quantifying erosion of ‘at risk’ archaeological sites using repeat terrestrial laser scanning

    Open Access•Mark Kincey, Christopher Gerrard et al.•Journal of Archaeological Science…•2017

  • Pixel versus object — A comparison of strategies for the semi-automated mapping of archaeological features using airborne laser scanning data

    Open Access•Christopher Sevara, M Pregesbauer et al.•Journal of Archaeological Science…•2016

  • Methods for the extraction of archaeological features from very high-resolution Ikonos-2 remote sensing imagery, Hisar (southwest Turkey)

    Open Access•Véronique De Laet, Étienne Paulissen et al.•Journal of Archaeological Science•2006

  • Computer-based, automatic recording and illustration of complex archaeological artifacts

    Open Access•Ayelet Gilboa, Ayellet Tal et al.•Journal of Archaeological Science•2012

  • D reality-based artefact models for the management of archaeological sites using 3D Gis

    Open Access•Fabrizio Ivan Apollonio, Marco Gaiani et al.•Journal of Archaeological Science•2012

  • Determining the weathering classification of stone cultural heritage via the analytic hierarchy process and fuzzy inference system

    Open Access•Mehmet Ergün Hatır•Journal of Cultural Heritage•2020

  • Automatic feature extraction and classification of Iberian ceramics based on deep convolutional networks

    Open Access•Celia Cintas, Manuel Lucena et al.•Journal of Cultural Heritage•2020

  • Computer simulation of archaeological drawings

    Open Access•Jingwen Zhang, Ziqi Liu et al.•Journal of Cultural Heritage•2019

  • Deep learning-based weathering type recognition in historical stone monuments

    Open Access•Mehmet Ergün Hatir, M Ergün Hatır et al.•Journal of Cultural Heritage•2020

Obras citantes distintas5
Citações por ano1,67
Intervalo de citações2023 - 2026 (4)
Velocidade de citaçãocurrent
Altamente citadoNão
Tipos de citaçãoNeutras: 5
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