An Assessment of Errors Using Unconventional Photogrammetric Measurement Technology - with UAV Photographic Images as an Example

Chien-Ting Wu This email address is being protected from spambots. You need JavaScript enabled to view it.¹, Cheng-Yang Hsiao² and Chun-Sung Chen³

¹Department of Civil Engineering, National Chiao Tung University, Hsinchu, Taiwan 300, R.O.C.
²Disaster Prevention Technology Research Center, Sinotech Engineering Consultants, Inc., Taiwan 300, R.O.C. 
³Department of Geomatics, Chien Hsin University of Science and Technology, Taoyuan, Taiwan 320, R.O.C.

REFERENCES

1. [1] Doermann, D., “The Indexing and Retrieval of Document Images: a Survey, ” Comput. Vision Image Understand., Vol. 70, pp. 287
   298 (1998). doi: 10.1006/ cviu.1998.0692
2. [2] Bunke, H. and Wang, P. S. P. (Eds.), Handbook of Character Recognition and Document Image Analysis, World Scientific, Singapore (1997).
3. [3] Masaki, I. (Ed.), “Vision-Based Vehicle Guidance,” Proceedings of the 1992 International Conference on Industrial Electronics Control Instrumentation and Automation, New York (1992). doi: 10.1109/IECON. 1992.254518
4. [4] Bertozzi, M. and Broggi, A., “Vision-Based Vehicle Guidance,” IEEE Comput., Vol. 30, pp. 49
   55 (1997). doi: 10.1109/2.596628
5. [5] Broggi, A., Bertozzi, M., Fascioli, A., Conte, G., “Architectural Issues on Vision-Based Automatic Vehicle Guidance: The Experience of the ARGO Autonomous Vehicle,” World Scientific, Singapore (1999). doi: 10.1006/rtim.1999.0191
6. [6] Lowe, D. G., “Object Recognition from Local ScaleInvariant Features.” International Conference on Computer Vision, Corfu, Greece, pp. 1150
   1157 (1999). doi: 10.1109/ICCV.1999.790410
7. [7] Lowe, D. G., “Distinctive Image Features from ScaleInvariant Key Points,” International Journal of Computer Vision, No. 60, pp. 91
   110 (2004). doi: 10.1023/ B:VISI.0000029664.99615.94
8. [8] Lowe, D. G., “Automatic Panoramic Image Stitching Using Invariant Features,” International Journal of Computer Vision, Vol. 74, No. 1, pp. 59
   73 (2006). doi: 10.1007/s11263-006-0002-3
9. [9] Sun, M., “Multiple View Geometry and Traditional Photogrammetry Theory,” Acta Scientiarum Naturlium Universitatis Pekinensis, Vol. 43, No. 4, 453
   459 (2007). (in Chinese)
10. [10] Snavely, N., Simon, I., Goesele, M., Szeliski, R. and Seitz, S. M., “Scene Reconstruction and Visualization from Community Photo Collections,” Proceedings of the IEEE, Vol. 98, No. 8, pp. 1370
    1390 (2010). doi: 10.1109/JPROC.2010.2049330
11. [11] Hsiao, C. Y., Hsieh, P. S. and Chi, S. Y., “Preliminary Study Using Unconventional Photogrammetry to Evaluate the Earthwork Volume-a Case Study of the Landslide Occurred on the Cidu Section of Formosan Freeway,” Journal of Chinese Soil and Water Conservation, Vol. 42, No. 3, pp. 120
    130 (2011). (in Chinese)
12. [12] Ko, T., Zhang, Z. X., Guo, T. H. and Wang, C. C., “Aerial Photogrammetry in the Fast Response,” 2010 Workshop on Unconventional Photogrammetry, Tainan (2010). (in Chinese)
13. [13] Chen, C. C., Cheng, H. Z, Wu, W. H., Lai, G. L. and Xie, Y. D., “The Research of Digital Photography Technology for Measuring the Vibration of the Stayed Cable Parameter Identification,” 2010 Workshop on Unconventional Photogrammetry, Tainan (2010). (in Chinese)
14. [14] Zhao, X., Huang, R. I. and Wei, S., “Reconstruction on 3D Topography Based on Computer Vision,” Journal of Geological Hazards and Environment Preservation, Vol. 15, No. 2, pp. 74
    77 (2004). (in Chinese)
15. [15] Zhang, Y. and Ko, T., “Ortho Updating by Aerial Triangulation Based on the Existing Ortho-Photos and DEM,” 2010 Workshop on Unconventional Photogrammetry, Tainan (2010). (in Chinese)
16. [16] Tsai, Y. T., The Study on DSM Generated from Point Clouds by UAV Image, Master thesis, National Taipei University, Taipei, Taiwan (2012). (in Chinese)
17. [17] Tomasi, C. and Kanade, T., “Detection and Tracking of Point Features,” Carnegie Mellon University, Technical Report No. CMU-CS-91-132, Pittsburgh, PA, U.S.A. (1991).
18. [18] Zhou, K., “Structure & Motion,” Structure in Pattern Recognition, Vienna University of Technology, Faculty of Informatics, Institute of Computer Graphics and Algorithms, Pattern Recognition and Image Processing Group (2010).
19. [19] Furukawa, Y. and Ponce, J., “Accurate, Dense and Robust Multiview Stereopsis,” IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 32, No. 8, pp. 1362
    1376 (2010). doi: 10.1109/TPAMI. 2009.161
20. [20] Wang, L., Military Digital Topographic Map Editing and Output System Based on MicroStation, Master thesis, The PLA Information Engineering University, Henan, China (2002). (in Chinese)
21. [21] Hemmert, W., Mermelstein, M. S. and Freeman, D. M., “Nanometer Resolution of Three-Dimensional Motions Using Video Interference Microscopy,” Technical Digest IEEE International MEMS 99 Conference Twelfth IEEE International Conference on Micro Electro Mechanical Systems (Cat No 99CH36291), Orlando, Florida, U.S.A., Jan. 17-21, pp. 302
    308 (1999).
22. [22] Wang, M. S., Liu, C. C., Liou, J. L. and Hsiao, F. D., “Surveying Results Analysis on Virtual Base Station Real Time Kinematic Positioning System of e-GPS Base Station Network,” Journal of Cadastral Survey, Vol. 25, No. 2, pp. 1
    21 (2006).
23. [23] Li, Z., “Effects of Check Point on the Reliability of DTM Accuracy Estimates Obtained from Experimental Test,” Photogrammetric Engineering Remote Sensing, Vol. 57, No. 10, pp. 1333
    1340 (1991).