Full text: Proceedings, XXth congress (Part 5)

   
2004 
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International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XXXV, Part BS. Istanbul 2004 
  
Even if the standard and more accurate way to do this is to 
apply a 3D similarity transformation using sets of common 
points, the point based (Besl and McKay, 1992) registration 
algorithm adopted by some powerful software permits good 
data registration results. Finally, for displacement detection it is 
frequently important to detect homologous points outside the 
body of the landslide, and for this aim is really relevant the 
current availability of long-range high precision laser range 
scanners. 
Acknowledgements 
The authors wish to thank Simone Orlandini of MicroGeo,S.r.l. 
(Calenzano, Firenze, Italy; www.microgeo.it) and Thomas 
Gaisecker of RIEGL Laser Measurement Systems GmbH 
(Horn, Austria; www.riegl.com) for their support in data 
acquisition and processing. 
The work was partially financed by the PRIN2003 Italian 
National Research Project "Tecnologie innovative per la 
previsione, il controllo e la mitigazione dell'impatto delle 
emergenze ambientali". 
References 
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