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：2008
卷号：XXXVII Part B3b
页码：405-410
出版社：Copernicus Publications
摘要：Based on the high-resolution image data in urban areas, the paper investigate the key technologies in building detection and reconstruction, particularly focused on the Building Model Driving (BMD) algorithm for hip-roof building and box building. In this case, the boundaries of building rooftop are straight lines. The main methods, including generating the DSM data by a graph-cut based image dense stereo match under the energy minimization framework, constructing the coarse building model by the BMD algorithm, obtaining the 2D Building Edge Feature Vector (BEFV) by the EDISON algorithm. In order to refine the coarse model, projecting the coarse 3D building model to the original image and making a constraint to the edge of building rooftop by the BEFV. An integration has been made under all the above method to generate a semi-automatic building extracting system
关键词：Extraction; Digital; Photogrammetry; Semi-automation; Dense Stereo Match; EDISON; Building Extraction
