Building Extraction Based on Dense Stereo Match and Edison Algorithm

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.