An UAS-assisted multi-sensor approach for 3D modeling and reconstruction of cultural heritage site
dc.authorid | Akçay, Özgün / 0000-0003-0474-7518 | |
dc.authorid | Erenoğlu, Ramazan Cüneyt / 0000-0002-8212-8379 | |
dc.authorid | Erenoğlu, Oya / 0000-0003-1235-3009 | |
dc.contributor.author | Erenoğlu, Ramazan Cüneyt | |
dc.contributor.author | Akçay, Özgün | |
dc.contributor.author | Erenoğlu, Oya | |
dc.date.accessioned | 2025-01-27T20:20:53Z | |
dc.date.available | 2025-01-27T20:20:53Z | |
dc.date.issued | 2017 | |
dc.department | Çanakkale Onsekiz Mart Üniversitesi | |
dc.description.abstract | Unmanned Aerial System (UAS) has been widely used to produce highly-precise orthomosaics, Digital Surface Models (DSMs), Digital Terrain Models (DTMs) and 3D models in many applications. UAS is also utilized to document cultural heritage sites using low-cost photogrammetric approach. Particularly, possibility of multi-sensor acquisition provides substantial information about both geometric features and material classification. In this study, a novel methodology using multi-sensor data acquisition is proposed in order to extract and to distinguish material features from UAS-based photogrammetry for the cultural heritages. Sensors which are able to collect visible, thermal and infrared radiations of the electromagnetic spectrum were employed to produce 3D model information of Assus Ancient Theater located in Behramkale Village, Canakkale, Turkey. The results showed that the accuracies of the 3D models were obtained as +/- 2-3 cm, +/- 10-15 cm and +/- 5-7 cm for the digital, thermal and multi-spectral camera systems, respectively. Beside the given high-accurate geometric model, the classification outcomes as a result of the spectral analysis revealed material features in an affordable and efficient way. (C) 2017 Elsevier Masson SAS. All rights reserved. | |
dc.identifier.doi | 10.1016/j.culher.2017.02.007 | |
dc.identifier.endpage | 90 | |
dc.identifier.issn | 1296-2074 | |
dc.identifier.issn | 1778-3674 | |
dc.identifier.scopus | 2-s2.0-85015418650 | |
dc.identifier.scopusquality | Q1 | |
dc.identifier.startpage | 79 | |
dc.identifier.uri | https://doi.org/10.1016/j.culher.2017.02.007 | |
dc.identifier.uri | https://hdl.handle.net/20.500.12428/21840 | |
dc.identifier.volume | 26 | |
dc.identifier.wos | WOS:000407780400009 | |
dc.identifier.wosquality | Q3 | |
dc.indekslendigikaynak | Web of Science | |
dc.indekslendigikaynak | Scopus | |
dc.language.iso | en | |
dc.publisher | Elsevier France-Editions Scientifiques Medicales Elsevier | |
dc.relation.ispartof | Journal of Cultural Heritage | |
dc.relation.publicationcategory | info:eu-repo/semantics/openAccess | |
dc.rights | info:eu-repo/semantics/closedAccess | |
dc.snmz | KA_WoS_20250125 | |
dc.subject | Unmanned Aerial System | |
dc.subject | Photogrammetry | |
dc.subject | Thermal camera | |
dc.subject | Multi-spectral camera | |
dc.subject | 3D modeling | |
dc.subject | Image classification | |
dc.subject | Documentation | |
dc.subject | Petrography | |
dc.title | An UAS-assisted multi-sensor approach for 3D modeling and reconstruction of cultural heritage site | |
dc.type | Article |
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