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Proceedings Paper

Building height retrieval from airborne VHR SAR imagery based on an iterative simulation and matching procedure
Author(s): Dominik Brunner; Guido Lemoine; Lorenzo Bruzzone
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Paper Abstract

The new spaceborne very high resolution (VHR) synthetic aperture radar (SAR) sensors onboard the TerraSARX and COSMO-SkyMED satellites have a spatial resolution of up to 1 meter. In VHR SAR data, features from individual urban structures (like buildings) can be identified in their characteristic settings in urban settlement patterns. In this paper, we present a novel methodology for the height estimation for generic man made structures from single power SAR data. The proposed approach is based on the definition of a hypothesis on the height of the building and on the simulation of a SAR image for testing that hypothesis. Then a matching procedure is applied between the estimated and the actual SAR images in order to validate the height assumption. The process is iterated for different initial height assumptions until the matching function is satisfied and thus the building height is estimated. The efficiency and the properties of the proposed method are demonstrated for the height estimation of a set of 38 flat- and gable roof buildings using a VHR airborne SAR scene for a residential area in Dorsten, Germany.

Paper Details

Date Published: 10 October 2008
PDF: 12 pages
Proc. SPIE 7110, Remote Sensing for Environmental Monitoring, GIS Applications, and Geology VIII, 71100F (10 October 2008); doi: 10.1117/12.800736
Show Author Affiliations
Dominik Brunner, Joint Research Ctr. of the European Commission (Italy)
Univ. of Trento (Italy)
Guido Lemoine, Joint Research Ctr. of the European Commission (Italy)
Lorenzo Bruzzone, Univ. of Trento (Italy)


Published in SPIE Proceedings Vol. 7110:
Remote Sensing for Environmental Monitoring, GIS Applications, and Geology VIII
Ulrich Michel; Daniel L. Civco; Manfred Ehlers; Hermann J. Kaufmann, Editor(s)

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