Reconstruction of Historical Buildings Using Social Media Data: A Case Study from the World Cultural Heritage List
Yazarlar (8)
Nursu Tunalıoğlu Öcalan Yıldız Teknik Üniversitesi, Türkiye
Bahattin Erdoğan Yıldız Teknik Üniversitesi, Türkiye
Taylan Öcalan Türkiye
Duygu Arıcan Üstel
Türkiye
Türkiye
Cemali Altuntaş Yıldız Teknik Üniversitesi, Türkiye
Tümay Arda Yıldız Teknik Üniversitesi, Türkiye
Dr. Öğr. Üyesi Ali Hasan DOĞAN Tokat Gaziosmanpaşa Üniversitesi, Türkiye
Elif Zeynep Arıkan
| Makale Türü |
Özgün Makale
(ESCI dergilerinde yayınlanan tam makale)
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| Dergi Adı | International Journal of Engineering and Geosciences | ||
| Dergi ISSN | 2548-0960 Wos Dergi Scopus Dergi | ||
| Dergi Tarandığı Indeksler | ESCI | ||
| Makale Dili | İngilizce | Basım Tarihi | 10-2025 |
| Cilt / Sayı / Sayfa | 11 / 1 / 21–39 | DOI | 10.26833/ijeg.1635501 |
| Makale Linki | https://doi.org/10.26833/ijeg.1635501 | ||
| Özet |
| Cultural and natural heritage assets, as a set of tangible and intangible values that reveal the shared past and historical accumulations of the communities living together, are important not only for the past but also for the transfer to future generations and are the responsibility of all nations of the world. Today's digitalized information age, development, and change in science and technology contribute to producing highly accurate three-dimensional (3D) inventories of these cultural heritages. However, in addition to natural degradation and destruction processes, unexpected events such as war, terrorist attacks, and natural disasters can hinder the formulation of the traditional inventories. At this point, it is important to carry out 3D modeling studies using crowdsourced images and videos from social media, to enhance modeling accuracy and support digital documentation, virtual museum initiatives, and heritage preservation. This study aims to present a strategy following the Structure-from-Motion approach to create 3D models of cultural heritage assets by using shared crowdsourced images and videos collected via social media platforms and applying a normalization procedure for scale standardization to assess model accuracy. Data obtained during nighttime, snowy conditions, or overly filtered captures were excluded, and a segmentation procedure using the Segment Anything model was implemented to remove irrelevant objects. As a result, an approach that can be used in inventory studies has been presented by using images and videos shared by users on social media platforms through an integrated and mutually supportive methodology … |
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BM Sürdürülebilir Kalkınma Amaçları
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| Google Scholar | 1 |