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Automated Low-cost Photogrammetry for Flexible Structure Monitoring : Volume Xxxix-b5, Issue 1 (30/07/2012)

By Wang, C. H.

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Book Id: WPLBN0004016732
Format Type: PDF Article :
File Size: Pages 6
Reproduction Date: 2015

Title: Automated Low-cost Photogrammetry for Flexible Structure Monitoring : Volume Xxxix-b5, Issue 1 (30/07/2012)  
Author: Wang, C. H.
Volume: Vol. XXXIX-B5, Issue 1
Language: English
Subject: Science, Isprs, International
Collections: Periodicals: Journal and Magazine Collection (Contemporary), Copernicus Publications
Publication Date:
Publisher: Copernicus Publications, Göttingen, Germany
Member Page: Copernicus Publications


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Miller, P. E., Mills, J. P., & Wang, C. H. (2012). Automated Low-cost Photogrammetry for Flexible Structure Monitoring : Volume Xxxix-b5, Issue 1 (30/07/2012). Retrieved from

Description: School of Civil Engineering and Geosciences, Newcastle University, Newcastle upon Tyne, NE1 7RU, U.K. Structural monitoring requires instruments which can provide high precision and accuracy, reliable measurements at good temporal resolution and rapid processing speeds. Long-term campaigns and flexible structures are regarded as two of the most challenging subjects in monitoring engineering structures. Long-term monitoring in civil engineering is generally considered to be labourintensive and financially expensive and it can take significant effort to arrange the necessary human resources, transportation and equipment maintenance. When dealing with flexible structure monitoring, it is of paramount importance that any monitoring equipment used is able to carry out rapid sampling. Low cost, automated, photogrammetric techniques therefore have the potential to become routinely viable for monitoring non-rigid structures.

This research aims to provide a photogrammetric solution for long-term flexible structural monitoring purposes. The automated approach was achieved using low-cost imaging devices (mobile phones) to replace traditional image acquisition stations and substantially reduce the equipment costs. A self-programmed software package was developed to deal with the hardware-software integration and system operation. In order to evaluate the performance of this low-cost monitoring system, a shaking table experiment was undertaken. Different network configurations and target sizes were used to determine the best configuration. A large quantity of image data was captured by four DSLR cameras and four mobile phone cameras respectively. These image data were processed using photogrammetric techniques to calculate the final results for the system evaluation.



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