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Proceedings Paper

Building recognition from multi-aspect high-resolution interferometric SAR data in urban areas
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Paper Abstract

The improved ground resolution of state-of-the-art synthetic aperture radar (SAR) sensors suggests utilizing this technique for analysis of urban areas. However, building reconstruction from SAR or InSAR data suffers from consequences of the inherent oblique scene illumination, such as foreshortening, layover, occlusion by radar shadow and multipath signal propagation. Especially in built-up areas, building reconstruction is often hardly possible based on single SAR or InSAR data sets alone. An approach is presented to improve the reconstruction quality combining multiaspect InSAR data. Building object primitives are extracted independently for two directions from the magnitude and phase information of the interferometric data. After projection of these initial primitive objects from slant range into the world coordinate system they are fused. This set of primitive objects is used to generate building hypotheses. SAR illumination effects are discussed using real and simulated data. The simulation results have been compared with real imagery. Deviations between simulations and real data were the base for further investigations. The approach is demonstrated for two InSAR data sets of a building group in an urban environment, which have been taken from orthogonal viewing directions with spatial resolution of about 30 cm.

Paper Details

Date Published: 17 May 2006
PDF: 8 pages
Proc. SPIE 6237, Algorithms for Synthetic Aperture Radar Imagery XIII, 623703 (17 May 2006); doi: 10.1117/12.664936
Show Author Affiliations
Antje Thiele, FGAN-FOM (Germany)
Ulrich Thoennessen, FGAN-FOM (Germany)
Erich Cadario, FGAN-FOM (Germany)
Karsten Schulz, FGAN-FOM (Germany)
Uwe Soergel, Univ. of Hannover (Germany)

Published in SPIE Proceedings Vol. 6237:
Algorithms for Synthetic Aperture Radar Imagery XIII
Edmund G. Zelnio; Frederick D. Garber, Editor(s)

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