Automatic SAR Simulation Technique for Object Identification in Complex Urban Scenarios

Buildings in High Resolution Sar Images - Identification Based on Citygml Data

“…To this end, however, the facade layover has to be identified and extracted beforehand in the SAR image. Following this objective, the remainder of this paper extends a simulation method reported in (Tao et al, 2014) by implementing an interface to the GIS standard CityGML as an external data source. The building geometry defined in the CityGML dataset is used as prior knowledge to directly simulate the extent of building layover in the SAR image plane.…”

“…Extended to an automated processing chain for simulating geocoded data named GeoRaySAR, the resulting images can be directly superposed to the TerraSAR-X data in order to identify buildings of interest (Tao et al, 2014). So far, the processing chain has been adapted to import geometric information from LiDAR data and digital surface models (DSMs).…”

“…Methods for decomposing model parts (as required for the DSM; e.g. (Tao et al, 2014)) are not necessary.…”

“…In more detail, imported model formats are parsed to a uniform model code in FME where model properties can be manipulated based on own strategies (tools: transformers). Note that the developed interface can be integrated into the simulation processing chain reported in (Tao et al, 2014).…”

“…A look to the literature reveals that possible concepts may be based on the integration of known object geometry from LiDAR data (Tao et al, 2014) but also on the analysis of interferometric SAR data (Thiele et al, 2013) or SAR image amplitudes (Ferro et al, 2013). In that regard, the identification of layover parts is either limited by the included scene model (density of LiDAR point cloud or spacing of DSM) or the layover property in the SAR data (prominent appearance of signatures, speckle, and coherence).…”