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Publications in Scientific Journals:

M. Zamecnikova, H.-B. Neuner:
"Methods for quantification of systematic distance deviations under incidence angle with scanning total stations";
ISPRS Journal of Photogrammetry and Remote Sensing (invited), 144 (2018), 8; 268 - 284.



English abstract:
If scanning total stations (TLS+TS) are used in scanning mode for high accurate engineering applications, the
systematic influence of the incidence angle (IA) on the reflectorless distance measurement has to be eliminated.
At present, methods for quantifying the systematic distance deviations under IA are missing because the measured
points are not reproducible. In this paper, three such methods are presented. They are conditional on the
used instruments and the required accuracy. These methods are validated with respect to specified framework
conditions. The distance deviations are derived in all three methods as difference between the distance measured
with TLS+TS in the scanning mode (DTLS) and the corresponding reference distance (Dref). The Dref is determined
in three steps: measurement of a high accuracy network, measurement for determining the starting point of the
Dref; object measurement to determine the endpoints of Dref. The corresponding DTLS and Dref are identified by
means of the horizontal direction Hz (HzTLS and Hzref) and the vertical angle V (VTLS and Vref), both pairs of
angles referring to the same origin marked by the axis of the common coordinate system. Depending on the used
method, the Dref is determined with a standard uncertainty of 0.1-0.3mm (at a distance of 30 m). The quantified
influence of IA on the distance measurement of the Leica MS50 at a distance of 30m to a granite plate varies in
the interval of 0.8 mm. The strong variation due to the IA occurs from 0 to 20 gon, its effect is stable from 20 to
60 gon.

Keywords:
Systematic distance deviations Reflectorless distance measurement Incidence angle Scanning total station


"Official" electronic version of the publication (accessed through its Digital Object Identifier - DOI)
http://dx.doi.org/10.1016/j.isprsjprs.2018.07.008


Created from the Publication Database of the Vienna University of Technology.