Full text: Technical Commission VII (B7)

to planimetric offsets at the ground as follows. Roll and pitch at 
nadir: 44cm; yaw at image corner: 1.3m; Z at image corner: 
1.1m. 
These results concerning the position (of the ‘projection center’) 
are, in general, in line with those given in Sec. 1.1. Compared to 
(EisenbeiB, 2009) and (Eisenbeif et al, 2009) the here presented 
results for the planimetric positioning are a bit worse, but gener- 
ally the sample for comparison is small. It is therefore difficult to 
attribute those differences either to the method of trajectory com- 
putation or the method of comparison. Like in (Haala et al., 2011) 
the expected accuracy derived from the antenna/receiver specifi- 
cation was reached for positioning. These papers, however, do 
not consider the estimation of the angular attitude, as it was done 
in this contribution. Compared to (Eugster and Nebiker, 2008) 
our real world examples based on standard low cost sensors con- 
firm their a-priori estimation of angular accuracy and their influ- 
ence of ground points. 
While these values might already be sufficient for certain map- 
ping tasks, the observations used for direct georeferencing can be 
utilised in an integrated georeferencing of the acquired imagery. 
Without additional costs or equipment, the presented approach 
can considerably narrow down the search space in automatic im- 
age orientation and might support a bundle adjustment in the case 
of a significant amount of gross errors (e.g. mismatched tie points 
due to bad image texture). As (Haala et al., 2011) point out, ‘ver- 
tical images’ with deviations of the viewing axis from the nadir 
in the order of 30° may occur for light weight UAVs. 
It will further be investigated if the constant values for the “mount- 
ing calibration” can be verified. This would open up the estima- 
tion of these offset parameters on a small set of control points in 
the immediate vicinity of the take-off/landing site. As no ref- 
erences to angular accuracy of direct geo-referencing of light 
weight UAVs with on board sensors was found, the above accu- 
racy estimates should be further tested. With respect to applica- 
tions geomorphology on the one hand, and ecology on the other 
hand (Miicke et al., 2011), will be further explored, because both 
can profit form georeferenced vertical close range photogramme- 
try for monitoring purposes. 
6 ACKNOWLEDGMENTS 
The Ludwig Boltzmann Institute for Archaeological Prospection 
and Virtual Archaeology (archpro.lbg.ac.at) is based on an inter- 
national cooperation of the Ludwig Boltzmann Gesellschaft (A), 
the University of Vienna (A), the Vienna University of Technol- 
ogy (A), the Austrian Central Institute for Meteorology and Geo- 
dynamic (A), the office of the provincial government of Lower 
Austria (A), Airborne Technologies GmbH (A), RGZM-Roman- 
Germanic Central Museum Mainz (D), RA-Swedish National Her- 
itage Board (S), IBM VISTA-University of Birmingham (GB) 
and NIKU-Norwegian Institute for Cultural Heritage Research 
(N). The work was supported by the TransEcoNet project within 
the EU Central Europe program co-financed by the ERDF. This 
study was partly undertaken within the EU project NEWFOR, 
financed by the European Territorial Cooperation Alpine Space. 
REFERENCES 
Blaha, M., Eisenbeif, H., Grimm, D. and Limpach, P., 2011. Di- 
rect georeferencing of UAVs. International Archives of the Pho- 
togrammetry, Remote Sensing and Spatial Information Sciences, 
Vol. XXXVIII-1/C22 UAV-g 2011, Conference on Unmanned 
Aerial Vehicle in Geomatics, Zurich, Switzerland. 
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 
492 
Briese, C. and Glira, P., 2011. Reed mapping by unmanned aerial 
vehicles. Rhombos- Verlag, pp. 121—130. 
Cramer, M., Stallmann, D. and Haala, N., 2000. Direct georef- 
erencing using GPS/Inertial exterior orientations for photogram- 
metric applications. International Archives of Photogrammetry 
and Remote Sensing. Vol. XXXIII, Part B3. Amsterdam. 
EisenbeiB, H., 2009. UAV Photogrammetry. PhD thesis, Institute 
of Geodesy and Photogrammetry, ETH Zurich, Switzerland. 
EisenbeiB, H., Stempfhuber, W. and Kolb, M., 2009. 
Genauigkeitsanalyse der 3D-Trajektorie von Mini-UAVs. DGPF 
Tagungsband 18/2009. 
El-Sheimy, N., 2009. Emerging MEMS IMU and its impact 
on mapping applications. Photogrammetric Week 2009, Dieter 
Fritsch (Ed.). 
Eugster, H. and Nebiker, S., 2008. Uav-based augmented mon- 
itoring - real-time georeferencing and integration of video im- 
agery with virtual globes. The International Archives of the Pho- 
togrammetry, Remote Sensing and Spatial Information Sciences, 
ISPRS Congress, Beijing, China, XXXVII. Part B1, 1229-1236. 
Everaerts, J., 2008. The use of unmanned aerial vehicles (UAVs) 
for remote sensing and mapping. The International Archives of 
the Photogrammetry, Remote Sensing and Spatial Information 
Sciences, ISPRS Congress, Beijing, China, XXXVII. Part Bl, 
1187-1192. 
Haala, N., Cramer, M., Weimer, F. and Trittler, M., 2011. Perfor- 
mance test on uav-based photogrammetric data collection. Inter- 
national Archives of the Photogrammetry, Remote Sensing and 
Spatial Information Sciences, Vol. XXXVIII-1/C22 UAV-g 2011, 
Conference on Unmanned Aerial Vehicle in Geomatics, Zurich, 
Switzerland p. 6. 
Mücke, W., Hollaus, M. and Briese, C., 2011. Application and 
analysis of airborne laser scanning data on reed beds. Rhombos- 
Verlag, pp. 109-121. 
    
   
   
    
    
   
    
  
  
    
     
     
    
  
  
  
    
    
   
  
   
    
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
   
  
  
  
   
  
   
	        
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