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Urban areas are highly complex scenes and thus single buildings are often hard to extract. A combination of complementary features of high-resolution interferometric SAR (InSAR) data and optical imagery can add valuable information in case one data source leads to ambiguous results. In addition, contextual information like the sun shadow, front yards, and driveways can act as hints for buildings....
A novel approach for building extraction in high resolution optical and SAR images and its application to building change detection are presented in this paper. The proposed object-based building extraction technique relies on an hypothesis generation-optimization-validation scheme, whose estimation and detection performances are characterized on Quickbird and TerraSAR-X semi-urban images. The introduced...
Urban areas grow and change rapidly all over the world. Hence, regular and up-to-date information on urban changes is required for urban planning and disaster management. In this study, two temporal TerraSAR-X images are used to monitor urban changes. The study area is focused on a part of central Tokyo, Japan. Firstly, the changes between two images are checked by color composition. Then the difference...
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