AUTOMATED LOW-COST PHOTOGRAMMETRY FOR FLEXIBLE STRUCTURE MONITORING
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 struct...
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Series: | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
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doaj-0df58cde044c46f0a5e3dd05e74e3e1e2020-11-24T21:01:38ZengCopernicus PublicationsThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences1682-17502194-90342012-07-01XXXIX-B539339810.5194/isprsarchives-XXXIX-B5-393-2012AUTOMATED LOW-COST PHOTOGRAMMETRY FOR FLEXIBLE STRUCTURE MONITORINGC. H. Wang0J. P. Mills1P. E. Miller2School of Civil Engineering and Geosciences, Newcastle University, Newcastle upon Tyne, NE1 7RU, U.KSchool of Civil Engineering and Geosciences, Newcastle University, Newcastle upon Tyne, NE1 7RU, U.KSchool of Civil Engineering and Geosciences, Newcastle University, Newcastle upon Tyne, NE1 7RU, U.KStructural 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.<br><br> 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.https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XXXIX-B5/393/2012/isprsarchives-XXXIX-B5-393-2012.pdf |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
C. H. Wang J. P. Mills P. E. Miller |
spellingShingle |
C. H. Wang J. P. Mills P. E. Miller AUTOMATED LOW-COST PHOTOGRAMMETRY FOR FLEXIBLE STRUCTURE MONITORING The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
author_facet |
C. H. Wang J. P. Mills P. E. Miller |
author_sort |
C. H. Wang |
title |
AUTOMATED LOW-COST PHOTOGRAMMETRY FOR FLEXIBLE STRUCTURE MONITORING |
title_short |
AUTOMATED LOW-COST PHOTOGRAMMETRY FOR FLEXIBLE STRUCTURE MONITORING |
title_full |
AUTOMATED LOW-COST PHOTOGRAMMETRY FOR FLEXIBLE STRUCTURE MONITORING |
title_fullStr |
AUTOMATED LOW-COST PHOTOGRAMMETRY FOR FLEXIBLE STRUCTURE MONITORING |
title_full_unstemmed |
AUTOMATED LOW-COST PHOTOGRAMMETRY FOR FLEXIBLE STRUCTURE MONITORING |
title_sort |
automated low-cost photogrammetry for flexible structure monitoring |
publisher |
Copernicus Publications |
series |
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
issn |
1682-1750 2194-9034 |
publishDate |
2012-07-01 |
description |
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.<br><br>
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. |
url |
https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XXXIX-B5/393/2012/isprsarchives-XXXIX-B5-393-2012.pdf |
work_keys_str_mv |
AT chwang automatedlowcostphotogrammetryforflexiblestructuremonitoring AT jpmills automatedlowcostphotogrammetryforflexiblestructuremonitoring AT pemiller automatedlowcostphotogrammetryforflexiblestructuremonitoring |
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1716777449344204800 |