In: Wagner W., Sz&cely, B. (eds.): ISPRS TC VII Symposium - 100 Years ISPRS, Vienna, Austria, July 5-7, 2010, ¡APRS, Vol. XXXVIII, Part 7B 
643 
4. CONCLUSIONS AND IMPROVEMENTS 
The empirical test runs of the fusion algorithm show that good 
fusing results can be obtained. However, it performs best, if the 
models exhibit high elevation dynamic. In case of a plane the 
algorithm fails, because shifts in the horizontal are arbitrary. In 
this case the vertical shift can be determined by a special 
algorithm which first models the two planes and then 
determines the vertical shift between them. 
Operational test runs on real data show that if profile lines are 
regarded in ALS data modelling an improvement in the 
determination of excavated material in e.g. open mining is in 
the order of 0.1 m 3 /(m 2 surveyed area). 
In a further development step the algorithm will be extended so 
that also the three Euler orientations between the different data 
sets are determined. 
The smoothing algorithm proves its performance. All presented 
algorithms will be implemented in a commercial program. 
5. REFERENCES 
Kraus, K., 2000. Photogrammetrie, Band 3: Topographische 
Informationssysteme. 1. Aufl., Dümmler, Köln, pp. 137-145. 
Ressl, C., Kager, H., Mandlburger, G., 2008. Quality checking 
of ALS projects using statistics of strip differences. In: The 
International Archives of the Photogrammetry, Remote Sensing 
and Spatial Information Sciences, Beijing, China, Vol. 
XXXVII, Part B3b, pp. 253-260. 
Thiel, K.-H., Wehr, A., 2001. Operational production of DTMs 
using ScaLARS. In: Proceedings of OEEPE workshop on 
Airborne Laserscanning and Interferometric SAR for Detailed 
Digital Elevation Models, Stockholm, Sweden, paper 9. 
Wehr, A., Petrescu, E., Duzelovic, H., Punz, Chr., 2009. 
Automatic break line detection out of high resolution airborne 
laser scanner data. In: Optical 3-D Measurement Techniques 
IX, Vienna, Austria, Vol. II, pp. 72-78.