3. Istanbul 2004
urea
;hing stereopairs
many features,
passes and even
s are apparent,
he test area, the
. Even with the
ible to recognise
Ss of high ground
t this image has
e to the fact the
t area
d in perspective
t is clear to the
sentation of the
graphic features
if any, obvious
,
ferent geometric
olution satellite
jures have been
nts, triangulating
International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XXXV, Part B3. Istanbul 2004
individual points, and performing a visual analysis.
Consequently these results show that the object space geometric
constraint (based on the affine projective model) is certainly as
good as the image space geometric constraint (based on the
epipolar model). An advantage of the affine-based constraint is
that the matching parameters can be specified in ground
coordinates. If approximate terrain heights are known, the
matching search space can be specified very accurately indeed,
and hence processing time and the number of potential errors
can be reduced. (With the image space constraint, the matching
parameters are much more arbitrary.) Additionally, these results
further confirm the usefulness of the affine projective model in
geometric processing of high resolution satellite imagery.
Images not aligned to epipolar coordinates (the San Diego data)
have also been successfully matched by use of a quadratic
epipolar model. Since the results of this model were as good as
those from the affine model, it can safely be assumed that use
of the quadratic epipolar model is justified. This is an important
result since it means that a high resolution image pair (i.e., not a
stereopair) can be matched as successfully as a stereopair.
Success of these empirical matching constraint models is
largely contingent on the images being free of scanning non-
linearities. Fortunately Ikonos appears to be largely free of such
effects. Future work will investigate the possibilities of using
multi-temporal, same-sensor images for terrain modelling, as
well as multi-temporal, multi- sensor images.
8. ACKNOWLEDGEMENTS
This work was carried out while the author was a research
fellow at the Department of Geomatics, University of
Melbourne. The author would like to thank Prof. Clive Fraser,
Dr. Harry Hanley, Mr. Simon Cronk and Mr. Takeshi
Yamakawa for their assistance with various aspects of the
research.
9. REFERENCES
Fraser, C. S., Baltsavias E. P., Gruen, A., 2001. Ikonos Geo
stereo images: geometric potential and suitability for 3D
building reconstruction. In: Photogrammetrie-Fernerkundung-
Geoinformation: Geodaten schaffen Verbindungen, E. Seyfert
(Ed.), Publications of the German Society for Photogrammetry
and Remote Sensing, 10: 113-121.
Fraser, C. S., Baltsavias E. P., Gruen, A., 2002a. Processing of
lkonos imagery for submetre 3D positioning and building
extraction. /SPRS Journal of Remote Sensing, 56(3): 177-194.
Fraser, C. S., Hanley, H. B. and Yamakawa, T., 2002b. Three-
dimensional geopositioning accuracy of Ikonos imagery.
Photogrammetric Record, 17(99): 465-479.
Gonzalez, R. C. and Woods, R. E. (1992). Digital image
processing. Addison-Wesley, New York, 716 p.
Luong, Q. T. and Faugeras, O., 1996. The fundamental matrix:
Theory, algorithms and stability analysis. /nternational Journal
of Computer Vision, 17(1): 43-76.
Orun, A. B. and Natarajan, K., 1994. A modified bundle
adjustment software for SPOT imagery and photography:
tradoff. Photogrammetric Engineering & Remote Sensing,
60(12): 1431-1437.
Samadzadegan, F., Azizi, A., Lucas, C., Hahn, M., 2002.
Automatic Surface Reconstruction Based on the Fusion of
Fuzzy Logic and Robust Estimation Techniques.
Photogrammetric Record, 17(100): 651-674.
Zhang, L., Pateraki, M., Baltsavias, E., 2002. Matching of
Ikonos Stereo and Multitemporal GEO Images for DSM
Generation. Proceedings of Map Asia 2002, Asian Conference
on GIS, GPS, Aerial Photography and Remote Sensing,
Bangkok, Thailand (on CD-ROM).