期刊名称：ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
印刷版ISSN：2194-9042
电子版ISSN：2194-9050
出版年度：2009
卷号：XXXVIII-3/W4
页码：169-174
出版社：Copernicus Publications
摘要：State-of-the-art space borne SAR sensors are capable of acquiring imagery with a geometric resolution of one meter while airborne SAR systems provide even finer ground sampling distance. In such data, individual objects in urban areas like bridges and buildings become visible in detail. However, the side-looking sensor principle leads to occlusion and layover effects that hamper interpretability. As a consequence, SAR data is often analysed in combination with complementary data from topographic maps or optical remote sensing images. This work focuses on the combination of features from InSAR data and optical aerial imagery for building recognition in dense urban areas. It is shown that a combined analysis of InSAR and optical data very much improves detection results compared to building recognition based on merely a single data source
