Full text: XVIIIth Congress (Part B5)

  
Whilst such movements and measurements of change 
are useful to the structural engineer, the full potential of 
the digital photogrammetric technique can only be 
Vector Scale 10mm 
Section Scale 100mm 
Figure 12 Exaggerated change in section of the rotor 
blade between epochs 10 and 17. 
realised if this information is amalgamated with data from 
other instrumentation. A programme of structural 
experiments featuring research into the combination of 
disparate data from different instrumentation and the 
visualisation of pertinent engineering information thus 
derived is currently in progress. 
7. CONCLUSIONS 
In conclusion, for photogrammetry to achieve its 
undoubted potential in the structural testing environment, 
research is required to extend and adapt existing data 
capture, processing and visualisation technologies for on 
site use by engineers. Further work is necessary not only 
to ensure and enhance data quality, but also to provide 
the seamless integration of data from a wide variety of 
instrumentation. 
This application of a low cost digital photogrammetric 
system to the analysis of small scale structural 
deformation has demonstrated the quantity of information 
of verifiable quality which can be rapidly obtained. There 
is no doubt that more can be achieved if imaging and 
experimental conditions are carefully designed. The 
rudimentary digital photogrammetric system used, whilst 
limited in image resolution, data acquisition rate and local 
computing power, has proved successful such that the 
key element of the project is the representation of the 
data in a form suitable for interpretation by the engineer. 
Work is currently in progress to design and build a new 
more powerful system which can be used to routinely 
monitor larger objects both in the laboratory and on site. 
Work on a methodology to include the variation of lens 
distortion with object space which is applicable to both 
laboratory and uncontrolled environments is currently in 
progress. 
498 
8. REFERENCES 
Baarda, W., 1973. S-transformations and criterion 
matrices. Netherlands Geodetic Commission 
Publications on Geodesy, New Series, 5(1). 168 pages. 
Beyer,. H., 1995. Digital photogrammetry in industrial 
applications. International Archives of Photogrammetry 
and Remote Sensing. From Pixels to Sequences. 
30(5W1): 373-378. March 22-24. Zurich. ISSN 0256- 
1840 
Cooper, M.A.R. 1987. Control Surveys in Civil 
Engineering. Blackwells, Oxford. ISBN 0-00-383183-3. 
392 pages. 
Cooper, M.A.R., and Robson. S. 1994. Photogrammetric 
methods for monitoring deformation: Theory, practice 
and potential. Proceedings of the 10th Recent 
Advances in Experimental Mechanics, Silva Gomes et 
al (eds) p395-400. Balkema, Rotterdam. ISBN 90 5410 
3957. 
Clarke, T.A., Cooper, M.A.R., Chen, J., and Robson, S., 
1995. Automatic three dimensional measurement using 
multiple CCD camera views. Photogrammetric Record 
15(85): 27-42. 
Chen, J., 1995, The use of Multiple Cameras and 
Geometric Constraints for 3-D Measurement, PhD 
Thesis, City University, UK, 245 pages. 
Chen, J., Robson, S., Cooper, M.A.R., and Taylor, R.N., 
1996. An Evaluation of three different image capture 
methods for measurement and analysis of deformation 
within a. geotechnical centrifuge. ISPRS Congress 
Vienna 1996. In press. 
Clarke, T.A., Robson, S., Qu, D.N., Wang, X., Cooper, 
M.A.R., Taylor, R.N., 1995, The Sequential Tracking of 
Targets in a Remote Experimental Environment, ISPRS 
Intercommision Workshop: From Pixels to Sequences - 
Sensors, Algorithms and Systems, Vol.30, 5/W1, pp.80- 
85. 
Fischler, M.A., and Foley J.D., 1981. Random Sample 
Consensus: A paradigm for model fitting with 
applications to image analysis and automated 
cartography. Communications of the ACM. 24(6): 
pp.381- 395. 
Fraser, C.S., and Gruendig, 1988. The analysis of 
photogrammetric deformation measurements of Turtle 
Mountain. Photogrammetric Engineering and Remote 
Sensing 51(2): pp.207-216. 
Fraser, C. S. and Shortis, M. R., 1992. Variation of 
distortion within the photographic field. 
Photogrammetric Engineering and Remote Sensing, 58 
(6): 851-855. 
Robson, S., Brewer, A., Cooper, M.A.R., Clarke, T.A., 
Chen, J., Setan, H.B., and Short, T. 1995. Seeing the 
wood from the trees - an example of optimised digital 
photogrammetric deformation detection. International 
Archives of Photogrammetry and Remote Sensing. 
30(5W1): 379-384. March 22-24. Zurich. ISSN 0256- 
1840. 
Robson, S., and Cooper, M.A.R., 1995. Digital 
photogrammetric monitoring of small scale structural 
deformation. 3rd Symposium on Surveillance and 
Monitoring Surveys, University of Melbourne, Australia. 
pp120-130. 
Setan, H., 1995. S-Transformations: A practical 
computational tool for deformation monitoring. 3rd 
Symposium on Surveillance and Monitoring Surveys, 
University of Melbourne, Australia. pp154-164. 
Strang van Hees, G.L, 1982. Variance-covariance 
transformations of geodetic networks. Manuscripta 
Geodetica, 7(1): pp.1-20. 
International Archives of Photogrammetry and Remote Sensing. Vol. XXXI, Part B5. Vienna 1996 
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