In this paper, an automatic approach is presented to detect/extract buildings from spaceborne TomoSAR point clouds. The approach is systematic and allows robust detection of both tall and low height buildings and is, therefore, well suited for urban monitoring of larger areas from space. The presented approach is illustrated and valiyeard by examples using {TomoSAR} point clouds generated from a stack of {TerraSAR}-X high resolution spotlight images covering an area of approximately 1.5 km2 containing mostly moderate sized buildings in the city of Berlin, Germany. The depicted results valiyear the effectiveness of the proposed approach.
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In this paper, an automatic approach is presented to detect/extract buildings from spaceborne TomoSAR point clouds. The approach is systematic and allows robust detection of both tall and low height buildings and is, therefore, well suited for urban monitoring of larger areas from space. The presented approach is illustrated and valiyeard by examples using {TomoSAR} point clouds generated from a stack of {TerraSAR}-X high resolution spotlight images covering an area of approximately 1.5 km2 cont...
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