Denoising of Laser Scanning Data Using Wavelet

Authors

  • Petr Jašek Czech Technical University in Prague, Faculty of Civil Engineering, Department of Special Geodesy, Thákurova 7, 16629 Praha 6, Czech Republic
  • Martin Štroner Czech Technical University in Prague, Faculty of Civil Engineering, Department of Special Geodesy, Thákurova 7, 16629 Praha 6, Czech Republic

DOI:

https://doi.org/10.14311/gi.12.7

Keywords:

laser scanning, noise reduction, wavelet transform, points

Abstract

Regarding the terrestrial laser scanning accuracy, one of the main problems is the noise in measured distance which is necessary for the spatial coordinates´ determination. In this paper the technique of using the wavelet transformation for the reduction of the noise in the laser scanning data is described. This method of filtration is made in “post processing” and due to this fact any changes in the measuring procedure in the field shouldn´t be done. The creation of the regular matrix is needed to apply image processing. This matrix then makes the range image. In the paper real and simulated efficiency tests of wavelet transformation, the final summary and advantages or disadvantages of this method are introduced.

References

ŠTRONER, Martin and POSPÍŠIL, Ji í. Terestrické skenovací systémy: Vyd. 1. Praha: České vysoké u ení technické v Praze, 2008, 353 s., ISBN 978-80-01-04141-3.

TRIMBLE,“Trimble GS Series 3D Scanner,” Trimble,

<http://trl.trimble.com/docushare/dsweb/Get/Document-217217/022543-

A_GSSeries_DS_0405_lr.pdf> (5 March 2013).

ŠTRONER, Martin., “Projekt ScanAverager v2.4.1,” Dpt. of Special Geodesy, 2012, http://k154.fsv.cvut.cz/~stroner/ScanAverager_v2/index.html (5 March 2013).

ADDISON, Paul S. The illustrated wavelet transform handbook: introductory theory and applications in science, engineering, medicine and finance. New York: Taylor, c2002. ISBN 07-503-0692-0.

DAUBECHIES, Ingrid. Ten Lectures on Wavelets. Philadelphia, Pennsylvania : Society for Industrial and Applied Mathematics, 1992. xix, 357 s. (CBMS-NSF regional conference series in applied mathematics; sv. 61) ISBN 0898712742

SMÍTKA, Václav and ŠTRONER, Martin. 3d Scanner Point Cloud Denoising By Near Points Surface Fitting. In: Videometrics, Range Imaging and Applications XII; and Automated Visual Inspection. Bellingham (state Washington): SPIE, 2013, vol. 1. ISBN 978-0-8194-9607-2.

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Published

2014-06-03

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Section

Articles