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- W2073647458 abstract "The new spaceborne very high resolution (VHR) synthetic aperture radar (SAR) sensors, such as TerraSAR-Xand Cosmo-SkyMed permit to extract information from VHR SAR data in urban areas at the level of individualbuildings. To support the widespread usage of VHR SAR for different application scenarios (e.g. damageassessment after natural disasters), and hence to increase the value of the data, automatic methods for buildingdetection and reconstruction should be developed. In this paper we present a novel method for automaticbuilding detection from single detected VHR SAR imagery. In a first step we extract basic features (e.g. lines)and identify their semantic meaning modeled as the degree of membership of the feature to a certain scatteringclass (e.g. double bounce). Then, we analyze the features extracted in a neighborhood system to identify buildingcandidates using a production system. Finally, a score is calculated for each building candidate based on thesemantic meaning of its features. This score is used to select or reject a candidate for the final set of extractedbuildings. The preliminary results obtained on single detected VHR SAR images of an urban area show that themethod effectively detects flat and gable roof buildings with only few missed and almost no false alarms." @default.
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- W2073647458 date "2009-09-17" @default.
- W2073647458 modified "2023-09-27" @default.
- W2073647458 title "An advanced technique for building detection in VHR SAR images" @default.
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- W2073647458 doi "https://doi.org/10.1117/12.830719" @default.
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