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：774-779
出版社：Copernicus Publications
摘要：In the last decade, much of the research dealing with 3D building extraction from aerial photographs has been carried out by the photogrammetry and computer vision communities. The increased usage of 3D City Spatial Information Systems and National GISs for control, management and planning, necessitated development of fully or semi-automatic methods for establishing and updating these systems. Most research tries to reconstruct the building space from large (~1:4,000) scale photographs, mainly for establishing or updating the 3D city model systems. However, the research presented in this paper focuses on 3D mapping from medium scale (~1:40,000) aerial photographs, specifically for establishing and updating the building layer in nationwide GIS databases. The algorithm developed for semi-automatic building mapping is based on a 2D approach to solving the 3D reality. The algorithm consists of five consecutive stages: pre-processing, left image operations, height extraction, right image operations and final mapping of the buildings. The first stage is the only stage performed manually in order to achieve specific goals: model solution, photograph preparation and designating the desired building roof. From the second stage onwards, the process is fully automatic. This algorithm can be employed in two ways, either as part of a fully automatic mapping of all buildings in the overlapping area, or as stand alone, enabling a new technology for semiautomatic mapping within a non-stereoscopic environment, without using 3D spectacles. Based on the algorithm, a system for semi-automatic mapping of buildings was developed in order to test its efficiency and accuracy. The results are satisfactory with an accuracy of 0.5m for planimetric measurement and 1m for altimetric measurement
关键词：digital photogrammetry; semi-automation; building extraction; mapping; small scale; aerial images; GIS
