Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-3, 313-320, 2014
https://doi.org/10.5194/isprsarchives-XL-3-313-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.
 
11 Aug 2014
Reconstructing 2-D/3-D Building Shapes from Spaceborne Tomographic Synthetic Aperture Radar Data
M. Shahzad1 and X. X. Zhu1,2 1Chair of Remote Sensing Technology (LMF), Technical University Munich, Arcisstrasse 21, 80333 Munich, Germany
2Remote Sensing Technology Institute (IMF), German Aerospace Center (DLR), Oberpfaffenhofen, 82234 Weßling, Germany
Keywords: SAR tomography, TerraSAR-X, building reconstruction, 4-D point cloud, point density, clustering, segmentation Abstract. In this paper, we present an approach that allows automatic (parametric) reconstruction of building shapes in 2-D/3-D using TomoSAR point clouds. These point clouds are generated by processing radar image stacks via advanced interferometric technique, called SAR tomography. The proposed approach reconstructs the building outline by exploiting both the available roof and façade information. Roof points are extracted out by employing a surface normals based region growing procedure via selected seed points while the extraction of façade points is based on thresholding the point scatterer density SD estimated by robust M-estimator. Spatial clustering is then applied to the extracted roof points in a way such that each roof cluster represents an individual building. Extracted façade points are reconstructed and afterwards incorporated to the segmented roof cluster to reconstruct the complete building shape. Initial building footprints are derived by employing alpha shapes method that are later regularized. Finally, rectilinear constraints are added to yield better geometrically looking building shapes. The proposed approach is illustrated and validated by examples using TomoSAR point clouds generated from a stack of TerraSAR-X high-resolution spotlight images from ascending orbit only covering two different test areas with one containing relatively smaller buildings in densely populated regions and the other containing moderate sized buildings in the city of Las Vegas.
Conference paper (PDF, 1125 KB)


Citation: Shahzad, M. and Zhu, X. X.: Reconstructing 2-D/3-D Building Shapes from Spaceborne Tomographic Synthetic Aperture Radar Data, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-3, 313-320, https://doi.org/10.5194/isprsarchives-XL-3-313-2014, 2014.

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