Investigation of Systematic Errors for the Hybrid and Panoramic Scanners

Authors

  • Mohd Azwan Abbasa Faculty of Architecture, Planning & Surveying, Universiti Teknologi MARA Perlis, 02600 Arau, Perlis, Malaysia
  • Halim Setan Faculty of Architecture, Planning & Surveying, Universiti Teknologi MARA Perlis, 02600 Arau, Perlis, Malaysia
  • Zulkepli Majid Faculty of Architecture, Planning & Surveying, Universiti Teknologi MARA Perlis, 02600 Arau, Perlis, Malaysia
  • Albert K. Chong Faculty of Architecture, Planning & Surveying, Universiti Teknologi MARA Perlis, 02600 Arau, Perlis, Malaysia
  • Lau Chong Luh Faculty of Architecture, Planning & Surveying, Universiti Teknologi MARA Perlis, 02600 Arau, Perlis, Malaysia
  • Khairulnizam M. Idris Faculty of Architecture, Planning & Surveying, Universiti Teknologi MARA Perlis, 02600 Arau, Perlis, Malaysia
  • Mohd Farid Mohd Ariff Faculty of Architecture, Planning & Surveying, Universiti Teknologi MARA Perlis, 02600 Arau, Perlis, Malaysia

DOI:

https://doi.org/10.11113/jt.v71.3827

Keywords:

Terrestrial laser scanner, self-calibration, systematic errors

Abstract

The existence of terrestrial laser scanners (TLSs) with capability to provide dense three-dimensional (3D) data in short period of time has made it widely used for the many purposes such as documentation, management and analysis. However, similar to other sensors, data obtained from TLSs also can be impaired by errors coming from different sources. Then, calibration routine is crucial for the TLSs to ensure the quality of the data. Through self-calibration, this study has performed system calibration for hybrid (Leica ScanStation C10) and panoramic (Faro Photon 120) scanner at the laboratory with dimensions 15.5m x 9m x 3m and more than hundred planar targets that were fairly distributed. Four most significant parameters are derived from well-known error sources of geodetic instruments as constant (a0), collimation axis (b0), trunnion axis (b1) and vertical circle index (c0) errors. Data obtained from seven scan-stations were processed, and statistical analysis (e.g. t-test) has shown significant errors for the calibrated scanners.

References

Reshetyuk, Y. 2009. Self-Calibration and Direct Georeferencing in Terrestrial Laser Scanning. Doctoral Thesis in Infrastructure. Royal Institute of Technology (KTH). Stockholm, Sweden. 66.

Schulz, T. 2007. Calibration of Terrestrial Laser Scanner for Engineering Geodesy. A Dissertation submitted for the degree of Doctor of Sciences. Technical University of Berlin. 23.

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

Kersten, T. and Mechelke, K. 2008. Geometric Accuracy Investigation of the Latest Terrestrial Laser Scanning System. FIG Working Week 2008. Stockholm, Sweden.

Abbas, M. 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.

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

Staiger, R. 2003. Terrestrial Laser Scanning: Technology, Systems and Applications. Second FIG Regional Conference. Marrakech, Morocco.

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 (2011) : 317–326.

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

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)(2009) : 177–182.

Lichti, D.D. and Licht, M. G. 2006. Experiences with Terrestrial Laser Scanner Modelling and Accuracy Assessment. IAPRS. XXXVI(5). Dresden.

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

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Published

2014-12-29

How to Cite

Investigation of Systematic Errors for the Hybrid and Panoramic Scanners. (2014). Jurnal Teknologi (Sciences & Engineering), 71(4). https://doi.org/10.11113/jt.v71.3827