ISPRS Commission III, Vol.34, Part 3A „Photo 
grammetric Computer Vision“, Graz, 2002 
  
  
  
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. CAP-A Sigma0: 5.6 
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RMS-X: 0.100! Lus: 
  
  
  
  
  
  
  
RMS-Y: 0.106 
  
  
  
  
RMS-Z: 0.040 
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
    
    
  
CAP-A Sigma0 : 5.6 
Control Points 
RMS-X: 0.100 
RMS-Y: 0.106 
RMS-Z: 0.040 
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Far Help, press F1 
  
  
Figure 11: ORIMA user interfa 
Once the analysis is finished and final parameters are obtained 
from the bundle adjustment, a new set of orientation files is 
generated by ORIMA. Within this process the precise 
orientation values for each sensor line at Level 0 are computed 
based on the adjusted orientation fix parameters and the 
observed GPS/IMU values. The photogrammetric mathematical 
model is updated with these precise orientation values and more 
accurate measurements can be made. The user is now ready to 
produce features, DTM, orthophotos, etc. 
S. SUMMARY 
In this paper we have detailed how a traditional least squares 
bundle adjustment process has been augmented to support a 
push broom scanner with GPS/IMU data completely. The use of 
high precision GPS and IMU data combined with traditional 
triangulation techniques gives rise to a robust and very flexible 
system. The adjustment process can determine calibration, 
datum deficiencies, and errors in GPS, and more precisely 
register the imagery to ground control. It should be noted that 
very little ground control is required. Owing to the GPS/IMU 
data, ground control is essentially unnecessary. For typical 
issues of local datum knowledge and quality control, some 
ground control is recommended. 
6. REFERENCES 
Hinsken, L. (1988). A Singularity Free Algorithm for Spatial 
Orientation of Bundles. Int. Arch. of Photogrammetry and 
Remote Sensing, Vol. 27 Part B5, pp. 262-272, Kyoto, Japan. 
Hinsken, L., Miller, S., Myint, Y., Walker, S. (1999). Error 
Analysis for Digital Triangulation with Airborne GPS. ASPRS 
Annual Convention Proceedings, Portland, Oregon, USA. 
A - 162 
ce showing ADS40 block. 
Hofmann, O., Navé, P., Ebner, H. (1982). DPS A Digital 
Photogrammetric System for Producing Digital Elevation 
Models and Orthophotos by Means of Linear Array Scanner 
Imagery. Int. Arch. of Photogrammetry, Vol. 24 Part B3, pp. 
216-227, Helsinki, Finland. 
Müller, F. (1991). Photogrammetrische Punktbestimmung mit 
Bilddaten digitaler Dreizeilenkameras. Deutsche Geodáütische 
Kommission, Reihe C, Nr. 372, München, Germany. 
Pope, A. (1970). An Advantageous, Alternative Parametrization 
of Rotations for Analytical Photogrammetry. ESSA Technical 
Report CaGS39, Rockville, Maryland, USA. 
Róser, H-P., Eckardt, A., von Schónermark, M., Sandau, R., 
Fricker, P. (2000). New Potential and Applications of ADS. 
Int. Arch. of Photogrammetry and Remote Sensing. Vol. 33, 
Part B2 pp. 251-257, Amsterdam, The Netherlands. 
Sandau, R. et. al. (2000). Design Principles of the LH Systems 
ADS40 Airborne Digital Sensor. Int. Arch. of Photogrammetry 
and Remote Sensing. Vol. 33, Part B2, pp. 258-265, 
Amsterdam, The Netherlands. 
Tempelmann, U. et. al. (2000). Photogrammetric Software for 
the LH Systems ADS40 Airborne Digital Sensor) Int. Arch. of 
Photogrammetry and Remote Sensing. Vol. 33, Part B2, pp. 
552-559, Amsterdam, The Netherlands.