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
rm San TT
Figure 2. Radargrammetric DSM of Trento — Tile 2, descending
(above), ascending (centre), merged (below)
These results are representative of the potentialities of the
radargrammetric model, anyway the achievable accuracy is
strictly related to the terrain morphology.
As regards future prospects of research, a more refined
denoising is necessary to improve the matching reliability;
therefore a deeper investigation on the expected potentiality of
existing speckle filters for the high resolution SAR imagery will
be carry out. Finally, alternative and more refined interpolation
methods, as ordinary or multi-resolution splines (Brovelli et al.,
2012) will be implemented and tested for generating a
40
complete DSM over a grid, also with the aim to mitigate the
high frequency DSM errors which, of course, affect directly a
linear interpolation as Delaunay triangulation.
References
Birchfield, S., Tomasi, C., 1999. Depth discontinuities by pixel-
to-pixel stereo, Int. Journal of Computer Vision, 35 (3), pp.
269-293.
Brovelli, M., Zamboni, G., 2012. Approximation of Terrain
Heights by Means of Multi-resolution Bilinear Splines, in VII
Hotine-Marussi Symposium on Mathematical Geodesy,
Sneeuw, N. Novák, P.;,Crespi, M., Sansó, F. (Eds),
International Association of Geodesy Symposia Volume 137,
DOL 10.1007/978-3-642-22078-4, Heidelberg, Germany:
Springer-Verlag.
Capaldo, P., Crespi, M., Fratarcangeli, F., Nascetti, A.,
Pieralice, F., 2011. High Resolution SAR Radargrammetry. A
first application with COSMO-SkyMed SpotLight Imagery,
IEEE Geoscience and Remote Sensing Letters, 8 (6), pp. 1100 —
1104.
Crespi, M., Fratarcangeli, F., Giannone, F., Pieralice, F., 2009.
Chapter 4—Overview on models for high resolution satellites
imagery orientation, in Geospatial Technology for Earth
Observation Data, D. Li, J. Shan, and J. Gong, Eds. Heidelberg,
Germany: Springer-Verlag.
Hanley, H. B., Fraser, C. S., 2004. Sensor orientation for high-
resolution satellite imagery: Further insights into bias-
compensated RPC, in Proc. XX ISPRS Congr., Istanbul,
Turkey, pp. 24-29.
Hirschmiiller, H., 2008. Stereo Processing by Semi-Global
Matching and Mutual Information, [EEE Transactions on
Pattern Analysis and Machine Intelligence, 30(2), pp. 328-341.
Méric, S., Fayard, F., Potter, E., 2009. Chapter 20—
Radargrammetric SAR image processing, in Geoscience and
Remote Sensing, P.-G. P. Ho, Ed. Rijeka, Croatia: Intech.
Perko, R., Raggam, H., Deutscher, J., Gutjahr, K., Schardt, M.,
2011. Forest Assessment Using High Resolution SAR Data in
X-Band, Remote Sensing, 3(4).
Shi, Z., Fung, K.B.,1994. A comparison of digital speckle
filters. Geoscience and Remote Sensing Symposium, Surface
and Atmospheric Remote Sensing: Technologies, Data Analysis
and Interpretation, 4, pp. 2129-2133.
Toutin, T., 2010. Impact of RADARSAT-2 SAR Ultrafine-
Mode Parameters on Stereo-Radargrammetric DEMs. [EEE
Transactions on Geoscience and Remote Sensing, 48(10), pp.
3816-3823.
Zhang, L., Gruen, A., 2006. Multi-image matching for DSM
generation from IKONOS imagery. ISPRS J. Photogramm.
Remote Sens., 60(3), pp. 195-211.
Acknowledgements
The authors are indebted to Prof. Uwe Soergel and DLR for
supplying the TerraSAR-X SpotLight imagery used in this work
in the frame of the project “Evaluation of DEM derived from
TerraSAR-X data” organized by the ISPRS Working Group
VII/2 “SAR Interferometry”.
