INVESTIGATION OF DATUM CONSTRAINTS EFFECT IN TERRESTRIAL LASER SCANNER SELF-CALIBRATION

Authors

  • Mohd Azwan Abbas Faculty of Architecture, Planning & Surveying, Universiti Teknologi MARA, 02600 Arau, Perlis, Malaysia
  • Halim Setan Faculty of Geoinformation & Real Estate, Universiti Teknologi Malaysia, 81310 UTM Johor Bahru, Johor, Malaysia
  • Zulkepli Majid Faculty of Geoinformation & Real Estate, Universiti Teknologi Malaysia, 81310 UTM Johor Bahru, Johor, Malaysia
  • Albert K. Chong School of Civil Engineering & Surveying, University of Southern Queensland, Australia
  • Lau Chong Luh Faculty of Geoinformation & Real Estate, Universiti Teknologi Malaysia, 81310 UTM Johor Bahru, Johor, Malaysia
  • Khairulnizam M. Idris Faculty of Geoinformation & Real Estate, Universiti Teknologi Malaysia, 81310 UTM Johor Bahru, Johor, Malaysia
  • Mohd Farid Mohd Ariff Faculty of Geoinformation & Real Estate, Universiti Teknologi Malaysia, 81310 UTM Johor Bahru, Johor, Malaysia

DOI:

https://doi.org/10.11113/jt.v75.5278

Keywords:

Terrestrial laser scannesr, self-calibration, network configuration, datum constraints

Abstract

The ability to provide rapid and dense three-dimensional (3D) data have made many 3D applications easier. However, similar to other optical and electronic instruments, data from TLS can also be impaired with errors. Self-calibration is a method available to investigate those errors in TLS observations which has been adopted from photogrammetry technique. Though, the network configuration applied by both TLS and photogrammetry techniques are quite different. Thus, further investigation is required to verify whether the photogrammetry principal regarding datum constraints selection is applicable to TLS self-calibration. To ensure that the assessment is thoroughly done, the datum constraints analyses were carried out using three variant network configurations: 1) minimum number of scan stations, 2) minimum number of surfaces for targets distribution, and 3) minimum number of point targets. Via graphical and statistical, the analyses of datum constraints selection have indicated that the parameter correlations obtained are significantly similar.  

References

Syahmi, M. Z., Wan Aziz, W. A., Zulkarnaini, M. A., Anuar, A. and Othman, Z. 2011. The Movement Detection on the Landslide Surface by Using Terrestrial Laser Scanning. Control and System Graduate Research Colloquium (ICSGRC), 2011 IEEE, Shah Alam, Selangor.

Wan Aziz, W. A., Khairul, N. T. and Anuar. 2012. A. Slope Gradient Analysis at Different Resolution Using Terrestrial Laser Scanner. Signal Processing and its Applications (CSPA), 2012 IEEE 8th International Colloquium, Melaka.

Gordon, S. J. and Lichti, D. D. 2007. Modeling Terrestrial Laser Scanner Data for Precise Structural Deformation Measurement. ASCE Journal of Surveying Engineering. 133 (2): 72-80.

Rönnholm, P., Nuikka, M., Suominen, A., Salo, P., Hyyppä, H., Pöntinen, P., Haggrén, H., Vermeer, M., Puttonen, J., Hirsi, H., Kukko, A., Kaartinen, H., Hyyppä, J. and Jaakkola. 2009. A. Comparison of Measurement Techniques and Static Theory Applied to Concrete Beam Deformation. The Photogrammetric Record. 24(128): 351-371.

González-Aguilera, D. Gómez-Lahoz, J., Sánchez, J. 2008. A New Approach for Structural Monitoring of Large Dams With a Three-dimensional Laser Scanner. Sensors. 8(9): 5866-5883.

González-Jorge, H., Riveiro, B., Arias, P., and Armesto, J. 2012. Photogrammetry and Laser Scanner Technology Applied to Length Measurements in Car Testing Laboratories. Measurement. 45: 354-363.

Riveiro, B., González-Jorge H., Varela, M., and Jauregui, D. V., 2013. Validation of Terrestrial Laser Scanning and Photogrammetry Techniques For The Measurement Of Vertical Underclearance And Beam Geometry In Structural Inspection Of Bridges. Measurement. (46): 184-794.

Lichti, D. D. 2007. Error Modelling, Calibration and Analysis of an AM-CW Terrestrial Laser Scanner System. ISPRS Journal of Photogrammetry & Remote Sensing. 61: 307-324.

Brian, F., Catherine, L. C. and Robert, R. 2004. Investigation on Laser Scanners. IWAA2004, 2004 CERN, Geneva.

Mohd Azwan, A., Halim, S., Zulkepli, M., Albert K. C., Khairulnizam, M. I. and Anuar, A. 2013. Calibration and Accuracy Assessment of Leica ScanStation C10 Terrestrial Laser Scanner. Development in Multidimensional Spatial Data Models, Springer Lecture Notes in Geoinformation and Cartography (LNG&C), March 2013. 33-47.

Reshetyuk, Y. 2009. Self-Calibration and Direct Georeferencing in Terrestrial Laser Scanning. Doctoral Thesis in Infrastructure, Royal Institute of Technology (KTH), Stockholm, Sweden, 2009.

Fraser, C. S. 1996. Network Design. In Close Photogrammetry and Machine Vision. Edited by K. B. Atkinson. Whittles Publishing, Roseleigh House, Latheronwheel, Scotland, UK. 256-279.

Lichti, D. D. 2010. A Review of Geometric Models and Self-Calibration Methods for Terrestrial Laser Scanner. Bol. Ciȇnc. Geod., sec. Artigos, Curitiba. 3-19.

Lichti, D. D., Chow, J. and Lahamy, H. 2011. Parameter De-Correlation and Model-Identification in Hybrid-Style Terrestrial Laser Scanner Self-Calibration. ISPRS Journal of Photogrammetry and Remote Sensing. 66: 317-326.

Schneider, D. 2009. Calibration of Riegl LMS-Z420i based on a Multi-Station Adjustment and a Geometric Model with Additional Parameters. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences. 38 (Part 3/W8): 177-182.

Gielsdorf, F., Rietdorf, A. and Gruendig, L. 2004. A Concept for the Calibration of Terrestrial Laser Scanners. TS26 Positioning and Measurement Technologies and Practices II-Laser Scanning and Photogrammetry. FIG Working Week 2004, Athens, Greece. 1-10.

Abdul, W. I. and Halim, S. 2001. Pelarasan Ukur. Kuala Lumpur: Dewan Bahasa dan Pustaka. 5-9.

Gopal, K. K. 1999. 100 Statistical Test. Thousand Oaks, California: SAGE Publications Ltd. 37-38.

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Published

2015-08-25

How to Cite

INVESTIGATION OF DATUM CONSTRAINTS EFFECT IN TERRESTRIAL LASER SCANNER SELF-CALIBRATION. (2015). Jurnal Teknologi, 75(10). https://doi.org/10.11113/jt.v75.5278