Statistics – Applications
Scientific paper
Jan 2002
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2002esasp.475..151s&link_type=abstract
In: Proceedings of the Third International Symposium on Retrieval of Bio- and Geophysical Parameters from SAR Data for Land Appl
Statistics
Applications
Hazards, Dtm
Scientific paper
The two most reliable methods for extracting surface topography from SAR image pairs are interferometry and stereogrammetry. Although the high-resoluton results obtained by interferometry have been the main focus for research into digital surface model (DSM) generation in recent years, it has been shown that the use of a lower-resolution DSM, obtained in this study by processing a SAR stereo pair, can aid in the generation of an interferometric DSM. In addition, height information for areas where the interferometric technique fails is often available in a stereogrammetrically-derived DSM. Because of the increasing availability of stereoscopic and interferometric coverage generated by air- and spaceborne sensors in the near future, the combination of radargrammetric stereo SAR with interferometry is becoming more feasible. This paper describes the extraction of high-resolution topographical information from SAR imagery, using stereogrammetry based on multiresoluton wavelet-matching. The data were obtained by a single airborne sensor over a test site in Switzerland. The resulting stereogrammetric DSMs are compared to an existing interferometric DSM. The limits of the stereoscopic technique are further investigated through simulaton of the radar backscatter using a reference digital elevation model (DEM) and nominal backscatter values mapped from the DEM into radar geometry. Sources of possible geometric errors in the stereo DSMs are studied. It is concluded that using a multiresolution stereo matchiung approach combined with good sensor positioning information makes automatic generation of a high-quality DSM possible. The latter can subsequently be used to improve the accuracy of a high-resolution InSAR-derived height map.
Holecz F.
Meier E.
Nüesch D.
Schubert A.
Small Des
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