Title: Building Height Retrieval from Airborne VHR SAR Imagery Based on an Iterative Simulation and Matching Procedure
Authors: BRUNNER DominikLEMOINE GuidoBRUZZONE Lorenzo
Citation: Proceedings of the SPIE Conference on Remote Sensing for Environmental Monitoring, GIS Applications, and Geology VIII vol. 7110 p. 71100F
Publisher: SPIE
Publication Year: 2008
JRC N°: JRC47348
URI: http://adsabs.harvard.edu/abs/2008SPIE.7110E...8B; http://spiedl.aip.org/getabs/servlet/GetabsServlet?prog=normal&id=PSISDG00711000000171100F000001&idtype=cvips&gifs=yes
DOI: 10.1117/12.800736
Type: Articles in periodicals and books
Abstract: The new spaceborne very high resolution (VHR) synthetic aperture radar (SAR) sensors onboard the TerraSAR-X 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.
JRC Directorate:Space, Security and Migration

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