Low-Cost 3D Imaging and Measurement Techniques for Documentation of Meram Masonry Arch Bridge in Turkey
International Journal of Sensors and Sensor Networks
Volume 5, Issue 5, October 2017, Pages: 63-69
Received: Oct. 6, 2017; Accepted: Nov. 3, 2017; Published: Dec. 25, 2017
Views 2121      Downloads 120
Cihan Altuntas, Department of Geomatics, Engineering Faculty, Selcuk University, Konya, Turkey
Mustafa Emirhan Pehlivanlı, Department of Geomatics, Engineering Faculty, Selcuk University, Konya, Turkey
Selman Kurban, Department of Geomatics, Engineering Faculty, Selcuk University, Konya, Turkey
Article Tools
Follow on us
A lot of historical masonry arch bridges that have different architect and ages had been built in Turkey. Some of them have still been used, the others have been broken down due to natural or human effects. These bridges have complex shapes and difficult conditions to measuring. The close-range photogrammetry and photogrammetric dense point cloud methods enable to creating 3D model of a great number of historical bridges with fast, low-cost and high accuracy. The Meram Bridge is inside the Konya Metropolitan Municipality. It has still serve to public usage, today. It’s dimensions are 29.5m long and 4.5m width, and has five arches. It has been restored many times so far. Though it has not been known when it was built, but it is probably belong to period of Seljuk Empire and Karamannid state during 13-14 century (BC). In this study, historical Meram bridges have been measured and 3D model was created. After given some literature review about the masonry arch bridges in Turkey, the 3D model of Meram Bridge was created. Its dimensions were given on the orthophoto images.
Close-Range Photogrammetry, Dense Point Cloud, Masonry Arch Bridges, 3D Modelling, Image Based Modelling
To cite this article
Cihan Altuntas, Mustafa Emirhan Pehlivanlı, Selman Kurban, Low-Cost 3D Imaging and Measurement Techniques for Documentation of Meram Masonry Arch Bridge in Turkey, International Journal of Sensors and Sensor Networks. Vol. 5, No. 5, 2017, pp. 63-69. doi: 10.11648/j.ijssn.20170505.11
Copyright © 2017 Authors retain the copyright of this article.
This article is an open access article distributed under the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
A. Ural, Ş. Oruç, A. Doğangün and Ö. İ. Tuluk, 2008. Turkish Historicfal Arc Bridges and Their Deteriorations and Failures, Engineering Failure Analysis 15 (1-2): 43-53.
Duran, R., 2008. Tarihi Konya köprüleri (Meram İlçesi), XII. Ortaçağ Türk Dönemi Kazıları ve Sanat Tarihi Sempozyumu. 15-17 Ekim, Çanakkale, Çanakkale Onsekiz Mart Üniversitesi Yayınları No: 98, 154-165.
M. Scaioni, R. Perko and M. R. Veronez, 2014. Applications of Surveying in Land Management, Earth Science Informatics 7 (2): 69–70.
R. Jiang, D. V. Jauregui and K. R. White, 2008. Close-Range Photogrammetry Applications in Bridge Measurement: Literature Review, Measurement 41 (8): 823-834.
J., Albert, H. G. Maas, A. Schade and W. Schwarz, 2002. Pilot Studies on Photogrammetric Bridge Deformation Measurement, Proceedings of the Second IAG Commission IV Symposium on Geodesy for Geotechnical and Structural Engineering, Berlin Germany, May 21-24, 7 pages.
J. Valenca, E. Julio and H. Araujo, 2008. Application of Photogrammetry to Bridge Measurement, 12th International Conference on Structural Faults and Repair, Edinburgh, GB, June 10-12, pp. 1-11.
Altuntas, C., 2013. Keypoint based automatic image orientation and skew investigation on tie points, Kybernetes 42 (3): 506-520.
Kraus, K. 2007. Photogrammetry: Geometry from Images and Laser Scans, Walter de Gruyter, Berlin.
Remondino, F., Ressl, C. 2006. Overview and experiences in automated markerless image orientation, The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences (IAPRS), Vol. 36, Part 3.
Hartley, R. I., Zisserman, A. 2004. Multiple View Geometry in Computer Vision, 2nd ed., Cambridge University Press, Cambridge.
Brazetti, L., Scaioni, M., Remondino, F. 2010. Orientation and 3D modelling from markerless terrestrial images: combining accuracy with automated. The Photogrammetric Record 25 (132): 356-381.
F. Remondino, M. G. Spera, E. Nocerino, F. Menna, F. Nex and S. G. Barsanti, 2013. Dense Image Matching: Comparisons and Analyses, Digital Heritage International Congress (Digital Heritage), IEEE, 1: pp. 47-54.
Eos Systems Inc., 2016. Photomodeler, http://www.photomodeler.com/products/modeler/ default.html [Accessed on 03 Nov, 2016].
Agisoft, 2017. Photoscan Professional (Version
Science Publishing Group
1 Rockefeller Plaza,
10th and 11th Floors,
New York, NY 10020
Tel: (001)347-983-5186