Lithology mapping of stone heritage via state-of-the-art computer vision

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dc.contributor.authorHatir, Mehmet Ergun
dc.contributor.authorInce, Ismail
dc.date.accessioned2024-02-23T14:12:53Z
dc.date.available2024-02-23T14:12:53Z
dc.date.issued2021
dc.departmentNEÜen_US
dc.description.abstractIn building stones that are widely used in the construction of immovable cultural heritage, preservation efforts are necessary due to various weathering processes. The accuracy and effectiveness of the restoration works, specifically for cultural heritage, are important factors. The most basic phase of these works is determining the stone types and preparing geo-lithological maps. However, the time-consuming process and difficult field work may lead to human-induced errors. In this study, a petrographic determination of building stone and a mapping model were developed based on Mask R-CNN in order to prevent human errors. To this end, the city of Konya, Turkey, which is on the UNESCO temporary heritage list, was selected for applying the proposed method. The model was trained with a total of 1800 images collected from nine historic buildings with different ornamental and building stones that constitute the cultural texture of the city. Testing of the model was conducted on the main facade of the Matbah-1 Serif monument, consisting of 363 building stones with seven different lithologies, for different situations (resolution, shooting distance, and angles). The average precision values for the stone types trained in the model were between 89.10% and 100%, and an accurate lithology determination and map were obtained for each case. These results indicate that the proposed model can provide important bases for restoration works, with its fast and automatic mapping capability as well as its reliable and highly precise lithology determination.en_US
dc.identifier.doi10.1016/j.jobe.2020.101921
dc.identifier.issn2352-7102
dc.identifier.scopus2-s2.0-85096832478en_US
dc.identifier.urihttps://doi.org/10.1016/j.jobe.2020.101921
dc.identifier.urihttps://hdl.handle.net/20.500.12452/12232
dc.identifier.volume34en_US
dc.identifier.wosWOS:000608426700004en_US
dc.identifier.wosqualityQ1en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherElsevieren_US
dc.relation.ispartofJournal Of Building Engineeringen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectCultural Heritageen_US
dc.subjectPetrographic Analysisen_US
dc.subjectGeo-Lithological Mappingen_US
dc.subjectMask R-Cnnen_US
dc.titleLithology mapping of stone heritage via state-of-the-art computer visionen_US
dc.typeArticleen_US

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