Iterative building reconstruction from multi-aspect InSAR data
The improved ground resolution of state of the art synthetic aperture radar (SAR) sensors suggests to use this technique for the analysis of urban areas. The quality of a 3D reconstruction of buildings from SAR or InSAR data is limited by phenomena caused form the inherent oblique scene illumination of SAR sensors. Geometric constraints of the impact of the mentioned SAR phenomena on the visibility of buildings are derived. Especially in dense inner city areas with tall buildings the building reconstruction is often impossible if only a single measurement is available. For rural scenes, suburban areas or industrial plants with large and detached buildings better results can be achieved. The reconstruction quality can be improved in any case by a combined analysis of multi-aspect data. In this paper an approach for the detection and reconstruction of buildings from several InSAR data sets is proposed. The analysis is carried out in an iterative manner. Intermediate results are used as basis for simulations of InSAR data. The simulation results are compared with the real imagery. Deviations between the simulations and the real data are eliminated step-by-step. The approach is demonstrated for a multi-aspect InSAR data set of a building group in an rural environment
Soergel U, Thoennessen U, Stilla U (2003)
Iterative building reconstruction from multi-aspect InSAR data.
In: Maas HG, Vosselmann G, Streilein A (eds)
3-D reconstruction from airborne laserscanner andInSAR data.
International Archives of Photogrammetry and Remote Sensing.
Vol. 34, Part 3/W13, 186-192
[ Stilla.de/pub ]