ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., II-3/W4, 9-16, 2015
http://www.isprs-ann-photogramm-remote-sens-spatial-inf-sci.net/II-3-W4/9/2015/
doi:10.5194/isprsannals-II-3-W4-9-2015
© Author(s) 2015. This work is distributed
under the Creative Commons Attribution 3.0 License.
 
11 Mar 2015
BUILDINGS IN HIGH RESOLUTION SAR IMAGES - IDENTIFICATION BASED ON CITYGML DATA
S. Auer1 and A. Donaubauer2 1Remote Sensing Technology Institute, German Aerospace Center (DLR), 82234 Oberpfaffenhofen, Germany
2Chair of Geoinformatics, Technische Universit¨at M¨unchen, 80333 München, Germany
Keywords: High resolution SAR, SAR simulation, GIS, CityGML, Interpretation, TerraSAR-X, Urban Areas Abstract. Motivated by the distinct appearance of facades in high resolution SAR images with respect to signal incidence angles and polarizations, this paper introduces a way to fuse SAR imagery and 3D GIS (geoinformation system) data (format: CityGML) based on SAR simulation methods. To this end, the known building geometry is used to simulate the extent of building layover for identifying the related image parts in high resolution TerraSAR-X images. The simulated SAR images are generated and geocoded by an automated processing chain which is initialized by the automated parsing of the CityGML dataset and the TerraSAR-X orbit file. Confirming the functionality of the developed interface between simulation and CityGML, first results are presented for an urban scene in the Munich city center in order to discuss future opportunities in the context of change detection applications.
Conference paper (PDF, 3348 KB)


Citation: Auer, S. and Donaubauer, A.: BUILDINGS IN HIGH RESOLUTION SAR IMAGES - IDENTIFICATION BASED ON CITYGML DATA, ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., II-3/W4, 9-16, doi:10.5194/isprsannals-II-3-W4-9-2015, 2015.

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