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：2004
卷号：XXXV Part B3
页码：980-986
出版社：Copernicus Publications
摘要：Automated building extraction from multi-source data has attracted great attention in recent years. This paper presents an approach to automated building extraction by fusion of image data, height data and 2D ground plans. In this approach buildings are detected using ground plans and height data. A split-and-merge process is applied to fuse image and height data and derive the parametric forms of roof planes. Vegetation regions are identified and discarded using the image information in red and infrared channels. Walls are reconstructed as vertical planes upon the ground plan. The model planar faces are finally intersected and resulting plane patches are assembled together to form a generic polyhedral model. Results of the experimental testing indicate the promising performance of the proposed approach in automatic detection and reconstruction of buildings
