but with the same number of control points, the check points
precision of stereo positioning for the opposite looking
direction images is higher than the precision of same looking
direction images. There is a close relationship between the
stereo positioning accuracy and base-height ratio, and with the
base-height ratio is greater, the positioning accuracy is higher
and more stability.
The control points in test are photogrammetric for
SPOTHRS/HRG optical images, relative to the TerraSAR-X
image resolution that the precision is still a bit low, which
would affect the accuracy and reliability of the orientation
parameters solution. In the condition with higher precision
measured GCPs, TerraSAR-X stereo positioning accuracy in
theoretical will be better than test results in paper.
4 CONCLUSION
The R-Cp geometric imaging model which take exterior
orientation elements as orientation parameters could be used as
the SAR image 3D positioning, and this method can directly
adopt the combined adjustment methods developed by optical
images, which show that the R-Cp geometric imaging model
has certain advantages in the side-looking radar digital
photography process, the rigorous stereo positioning model for
satellite TerraSAR-X images that can satisfy the mapping
accuracy in mountainous terrain. The surveyed area tests
showed that there was a big relationship between the
positioning accuracy and the number of ground control points
and distribution, the coordinate measurement accuracy, and the
size of the forward intersection angle of the ground point.
In some steepness mountain area that snow covered all the year
round and no one could arrive, it is difficult to only use optical
images to map, but the swath of SPOTSHRS images is much
larger than the TerraSAR-X high resolution image, this resulted
that use sparse ground points in
SPOTSHRS/HRG achieve many three-dimensional
triangulation encryption points at gaps of snow covering for
large area. We can take advantage of these encryption points for
known control
could
the TerraSAR-X image stereo positioning and mapping, and
decrease field work for control points surveying. This method
1:50,000
topographic mapping of China western snow-capped mountains
region, also the model built in this paper has been used in
1:50000 mapping project for China western area.
provides an effective choice for complete the
5. ACKNOWLEDGEMENTS
This paper is supported by National Natural Science Foundation
of China( No. 41071237 ), the National High Technology
Research and Development program of China (863 program)
(No. 2011AA120401, No. 201 1AA 120402).
6. REFERENCES
Brovelli M A, Crespi M, Fratarcangeli F, Giannone F and
Realini E. 2006. Accuracy Assessment of High Resolution
Satellite Imagery by Leave-one-out method. Proceedings of the
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
7th International Symposium on Spatial Accuracy Assessment
in Natural Resources and Environmental Sciences, July, Lisbon,
Portugal: 533-542.
Buckreuss, S., W. Balzer, P. Muhlbauer, R. Werninghaus, and
W. Pitz, 2003: The TerraSAR-X satellite project. Proc. IEEE
Int.Geoscience and Remote Sensing Symp. (IGARSS03),
Toulouse, France, IEEE, 3096-3098.
Cheng C Q, Zhang J X, Deng K Z and Zhang L . 2012. Range-
Coplanarity equation for radar geometric imaging. Journal of
Remote Sensing, 16(1): 38-49.
Cheng C Q, Zhang J X.2012. Rigorous Positioning with Side-
looking Radar Imagery Based on Range-Coplanarity Model.
Journal of Remote Sensing, 16(5) (waiting for publishing).
Gelautz M, Frick H, Raggam J, Burgstaller J and Leberla F.
1998. SAR image simulation and analysis of alpine terrain.
ISPRS Journal of Photogrammetry and Remote Sensing, 53(1):
17-38.
Johnsen H, Lauknes L and Guneriussen T. 1995. Geocoding of
fast-delivery ERS-1 SAR image mode product using DEM data.
International Journal of Remote Sensing, 16(11): 1957-1968.
Konecny G and Schuhr W. 1988. Reliability of Radar Image
Data. 16th ISPRS, (16): 92-101.
La Prade G., 1963. An analytical and experimental study of
stereo for radar. Photogrammetric Engineering, 29 (2), 294-300.
Lauknes I, E. Malnes, “Automatical geocoding of Envisat
ASAR products,” In: Proceed-ings of the 2004 Envisat & ERS
Symposium, Salzburg, Austria, 6-10 September 2004, ESA SP-
572, April 2005.
Leberl F. 1978. Radargrammetry for Image Interpretation. ITC
Technical Report.
Leberl F. 1990. Radar image grammetric processing. Artech
House.
Schwerdt, M., D. Hounam, J.-L. Alvarez-Péres, and T.
Molkenthin,2005: The calibration concept of TerraSAR-X: A
multiple-mode, high-resolution SAR. Can. J. Remote Sens.,
31,30-36.
Zhang L, ZhangJ X, and Chen X Y.2009.Block
adjustment with SPOT-5 imagery and sparse GCPs based on
RFM[J]. Acta Geodaetica et Cartographica Sinica, 38(4):P302-
310 (in Chinese) .