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Building Reconstruction from Multi-aspect InSAR Data

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Radar Remote Sensing of Urban Areas

Part of the book series: Remote Sensing and Digital Image Processing ((RDIP,volume 15))

Abstract

Modern space borne SAR sensors like TerraSAR-X and Cosmo-SkyMed provide geometric ground resolution of one meter. Airborne sensors (PAMIR [Brenner and Ender 2006], SETHI [Dreuillet et al. 2008]) achieve even higher resolution. In data of such kind, man-made structures in urban areas become visible in detail independently from daylight or cloud coverage. Typical objects of interest for both civil and military applications are buildings, bridges, and roads. However, phenomena due to the side-looking scene illumination of the SAR sensor complicate interpretability (Schreier 1993). Layover, foreshortening, shadowing, total reflection, and multi-bounce scattering of the RADAR signal hamper manual and automatic analysis especially in dense urban areas with high buildings. Such drawbacks may partly be overcome using additional information from, for example topographic maps, optical imagery (see corresponding chapter in this book), or SAR acquisitions from multiple aspects.

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Correspondence to Antje Thiele .

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Thiele, A., Wegner, J.D., Soergel, U. (2010). Building Reconstruction from Multi-aspect InSAR Data. In: Soergel, U. (eds) Radar Remote Sensing of Urban Areas. Remote Sensing and Digital Image Processing, vol 15. Springer, Dordrecht. https://doi.org/10.1007/978-90-481-3751-0_8

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