Full text: Technical Commission VII (B7)

  
International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume XXXIX-B7, 2012 
XXII ISPRS Congress, 25 August — 01 September 2012, Melbourne, Australia 
  
  
(b) 
Figure 7: Point clouds resulting after the removal of the 
vegetation through the morphological filter. LMS- 
Z620 dataset (a), VZ-400 dataset (b). 
5. CONCLUSIONS 
Achieved results show that for both datasets, the iterative and 
the morphological filters perform quite well for eliminating 
the vegetation, though some manual editing is still required 
since vegetation does not feature a prevalent growing 
direction. Furthermore, the comparison between the number 
of the laser returns left in the final DTMs shows that the VZ- 
400 provided a one order of magnitude denser point cloud 
wrt. the LMS-Z620. This demonstrates that a TLS with multi- 
target capability can potentially provide a more detailed 
DTM even in presence of very dense vegetation, as in the 
case of the Brustolé landslide area. The use of the calibrated 
reflectance revealed to be quite effective to reduce the 
number of off-ground points in the pre-filtering stage. 
However the selection of the more suited threshold values 
was quite difficult as it was based on empirical and manual 
methods. This applies overall in the case of the last echoes 
where the attenuation effect of preceding targets makes the 
calibrated reflectance values of that echoes still range 
dependent, so that ground and off-graound points tend to 
assume more similar reflectance values. It is authors opinion 
that in order to improve the potential of this additional 
information for object classification more sophisticated 
analysis tools should be developed. 
ACKNOWLEDGEMENTS 
Authors wish to thank prof. Gabriele Bitelli and his research 
team of the Department of Civil, Environmental and 
Materials Engineering (DICAM) of the University of 
516 
Bologna (Italy) for the provision of the Riegl VZ-400 laser 
scanner and the technical support given during the survey. 
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