Full text: XVIIth ISPRS Congress (Part B3)

  
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Grey value noise Flight path errors RES NM oe eh 
DTM 
2; [grey levels] 2, [m] 2; [mgrad] stand. dev. [m] mean [m] 
(1) 0.0 0.0 0.0 12 0.09 
(2) 3.0 0.0 0.0 1.50 0.10 
(3) 12.0 0.0 0.0 3.50 0.39 
(4) 0.0 0.4 0.08 2.51 0.15 
(5) 12.0 0.4 0.08 4.69 0.17 
(6) 0.0 1.0 0.2 6.89 0.81 
(7) 12.0 1.0 0.2 8.01 1.63 
(8) 0.0 2.0 0.4 19.86 2.33 
(9) 12.0 2.0 0.4 19.09 1.07 
  
  
  
  
  
Table 4.2: Numerical results of simulation 
5. FUTURE ASPECTS 
There exist various possible extensions of our approach. 
The introduction of a non-regular grid DTM adapted 
according to the roughness of the terrain, and the consi- 
deration of breaklines and discontinuities within the 
DTM can be achieved by altering the geometric object 
model. The simultaneous extraction of breaklines and 
discontinuities is more complicated to realize. 
A special feature of 3-line cameras is a different resolu- 
tions in each channel. For instance the MOMS camera 
has a resolution of 4.5 m for the nadir, 13.5 m for the 
other stereo channels. The matching process can be 
adapted to different resolutions. It should yield signifi- 
cantly better results than those obtained from the coar- 
ser level only. 
The simultaneous estimation of the parameters of exte- 
rior orientationin the least squares adjustment is already 
incorporated in the presented approach. As shown abo- 
ve this it is necessary for any practical application. Such 
investigations have still to be carried out. 
6. REFERENCES 
Ackermann F., Bodechtel J., Lanz] F., Meissner D., 
Seige P., 1989: MOMS-02 ein multispektrales Stereo 
Bildaufnahmesystem für die zweite deutsche Space- 
lab Mission D2, GIS (2) 3, 5-11. 
Albertz J., Scholten F., Ebner H., Heipke C., Neukum 
G., 1992: The camera experiments HRSC and WA- 
OSS on the Mars 94 mission, IntArchPhRS (29) 1. 
Barnard S. T., Thompson W. B., 1980: Disparity analysis 
of images, IEEE-PAMI (2) 4, 333-340. 
BoochsF., 1984: Ein Verfahren zur Herstellung digitaler 
Hóhenmodelle aus photogrammetrischen Stereo- 
modellen mit Hilfe der flächenhaften Korrelation in 
digitalen Bildern, DGK-C 299. 
Burt P.J., and E. H. Adelson, 1983: The Laplacian pyra- 
mid as a compact image code, IEEE-Transactions on 
communications (31) 4, 532-540. 
Diehl H., 1990: Radiometric noise in digitized photo- 
graphs, IntArchPhRS (28) 5/2, 974-983 . 
Ebner H., D. Fritsch, W. Gillessen, and C. Heipke, 1987: 
Integration von Bildzuordnung und Objektrekon- 
struktion innerhalb der digitalen Photogrammetrie, 
BuL (55) 5, 194-203. 
Ebner H., Müller F., 1986: Processing of digital three-li- 
ne imagery using a generalized model for combined 
point determination,IntArchPhRS (26) 3/1, 212-222. 
Fórstner W., 1982: On the geometric precision of digital 
correlation, IntArchPhRS (24) 3, 176-189. 
Fórstner W., 1986: A feature based correspondence 
algorithm for image matching, IntArchPhRS (26) 
3/3, 150-166. 
Grün A., 1985: Adaptive least squares correlation: A 
powerful image matching technique, South African 
Journal of Photogrammetry, Remote Sensing and 
Cartography 14 (3), 175- 187. 
Hahn M., Fórstner W., 1988: The applicability of a fea- 
ture based and a least squares matching algorithm 
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