International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XXXV, Part B3. Istanbul 2004
6.4.1 Geocoded Terrain Corrected (GTC)
The experimental GTC processor will produce a multi-look
detected product supporting at least the same cartographic and
geodetic references as the EEC (UTM/UPS and WGS84). The
image distortions caused by varying terrain height are corrected
using an external high resolution DEM. Ground control point
measurement and image adjustment ensure that the image
geometry will be of sufficient quality even for quick-look and
rapid orbit input. The rigorous geocoding approach will be
applied (s. chapter 2.2). Optionally the GIM is generated.
The experimental GTC processor supports input of the
TerraSAR-X basic products in single look complex and multi-
look ground range geometry. Additionally the so called
enumeration files can be generated.
6.4.2 Enumeration Files
The enumeration files are an alternative geocoded product,
which provides the ground co-ordinates along with the input
SAR scene. Thus geo-referencing can be performed by the end-
user without the need for image interpolation. To deliver this
information two image layers are attached to the SAR image.
They contain the ground co-ordinates for each input image
pixel in Easting and Northing, respectively.
The enumeration files generation is based on the object-to-
image. approach. For each pixel in the output domain the
corresponding position in the input SAR image is determined.
As this step provides a irregular spaced grid it is in a subsequent
step resampled to a regular spacing in azimuth and range.
7. CONCLUSION
TerraSAR-X is a new German radar satellite. Its high frequency
X-band SAR sensor can be operated in different modes and
polarisation ranging from SpotLight-, StripMap- to ScanSAR-
modes. Single and dual polarisation will be available
operationally, quad-polarised data on an experimental basis.
Geocoded ellipsoid corrected will be available as well as an
enhanced ellipsoid corrected product that considers DEMs of a
moderately coarser resolution than the TerraSAR-X modes.
SRTM will serve as backbone for this global ortho-rectification
service. The geocoding sub-system will be integrated into the
SAR processor TMSP and will be operated on a multi-processor
Unix computers directly at the receiving station in Neustrelitz.
An experimental GTC-processor will be implemented that
enables the high precision geocoding using high using
resolution DEMS, tie-pointing and image adjustment.
Three geocoding approaches will be applied to produce the
GEC, EEC and GTC. The rigorous approach is the most
accurate. The 3d interpolative approach provides comparable
results but with higher throughput. The interpolative ellipsoid
correction does not consider a DEM contrary to rigorous and 3d
interpolative geocoding.
8. REFERENCES
Frey O., Meier E., Small D., Barmettler A., Nüesch D. 2003.
Geometric Error Budget Analysis for TerraSAR-X, In:
Technical Note, TX-PGS-TN-3201, DLR
Frey O., Meier E., Niiesch D., Roth A. 2004. Geometric Error
Budget Analysis for TerraSAR-X, In: Proc. of Eusar2004
Conference, Ulm, Germany
844
Jehle M., Frey O., Meier E. Small D., Nüesch D. 2004.
Estimation and Correction of Atmospheric Path Delay in Radar
Signal Propagation, In: Technical Note, TX-PGS-TN-3016,
DLR
Kosmann D., Bollner M., Roth A. 2000. Value Added
Geocoded SAR Products from the German ENVISAT PAC, In:
Proc. of ERS-Envisat Symposium, Gothenburg, Sweden
Knópfle W., Dech S. 1999, Visualistion of Interferometric
Products Derived from ERS1/2 Tandem Pair Data, In: Proc. of
IGARSS '99, Hamburg, Germany, Vol. II, pp. 1378-1380
Meier E. 1989. Geometrische Korrektur von Bildern
orbitgestützter SAR-Systeme, In: Remote Sensing Series, Vol.
15, Remote Sensing Laboratories, Dept. of Geography,
University of Zurich-Irchel, Switzerland.
Meier E., Frei U., Nüesch D., 1993. Precise Terrain Corrected
Geocoded Images. In: Schreier G. (Ed.): SAR Geocoding and
Systems, Wichmann, Karlsruhe, pp. 173-186
Rabus B., Eineder M., Roth A., Bamler R., 2003. The shuttle
radar topography mission - a new class of digital elevation
models acquired by spaceborne radar. In: ISPRS Journal of
Photogrammetry & Remote Sensing, 57 (4), pp. 241 — 262
Raggam H., 1988. An Efficient Object Space Algorithm for
Spaceborne SAR Image Geocoding. In: Proc. of 16'th
International Congress of the ISPRS, Kyoto, Japan, Vol.
XXVII, Part B11, Commission Il, pp. 393-400
Raggam H., Gutjahr K., 2003. Quality Analysis for the
Geocoding of TerraSAR Image Data. In: Technical Note, TX-
PGS-TN-3202, DLR
Raggam H., Gutjahr K., 2004. Generation of Layover/Shadow
Mask (GIM Product) In. Technical Note, February 2004,
Joanneum Research Graz
Roth A., Craubner A., Hügel T., 1993. Standard Ellipsoid
Corrected Geocoded Images. In: Schreier G. (Ed.) SAR
Geecoding and Systems, Wichmann, Karlsruhe, pp. 159-173
Roth A., Kosmann D., Matschke M., Müschen B., John H.,
1996. Experiences in Multi-Sensoral SAR Geocoding. In: Proc.
of IGARSS '96, Lincoln, USA, Vol. IV, pp. 2338-2340
Roth A., Knópfle W., Strunz G., Lehner M., Reinartz P., 2002.
Towards A Global Elevation Product: Combination of Multi-
Source Digital Elevation Models. In: Proc. of Joint
International Symposium on Geospatial Theory, Processing and
Applications, Ottawa, Canada
Roth A., 2003. TerraSAR-X: A New Perspective for Scientific
Use of High Resolution Spaceborne SAR Data. In: Proc. of 2"
GRSS/ISPRS Workshop on Remote Sensing and Data Fusion
over Urban Areas, Berlin, Germany, pp. 4-7
Schreier, G., 1993. Geometrical Properties of SAR Images. In:
Schreier G. (Ed.): SAR Geocoding and Systems, Wichmann,
Karlsruhe, pp. 103-134
art
sir
eli
Sy
po
Ci
ac
m
th
ro
in
re