Abstract
Building extraction is an important task for SAR applications in many fields, such as urban planning, population distribution, and environment evaluation. In this paper, we focus on high-rise buildings in complex urban scenarios. The specific characteristics of high-rise building in high resolution (HR) SAR images are analyzed firstly. In particular, we explore the contextual information of bright line features as corner lines and double bounce; extract the textural feature of the periodic patterns appearing in the layover area. Given those signature details, a new algorithm exploit the building information is proposed for high-rise building detection from single SAR images. The algorithm is applied on spotlight TerraSAR-X images of the center districts in Toronto, Canada, which confirm the applicability of the method for variable high-rise buildings.
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