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：735-740
出版社：Copernicus Publications
摘要：In this paper, we present a semi-automated approach to high quality three-dimensional (3D) objects reconstruction from single high- resolution satellite image using monoplotting technique. The method requires high accuracy of satellite sensor model, such as Rational Polynomial Coefficients (RPC), and high resolution of Digital Elevation Models (DEM) to achieve the high precision geometry of the 3D reconstructed object. The RPC is used to determine the ray of the satellite to the object, while the azimuth and elevation angles of the Sun is used to determine the shadow of the object on the ground. The vertices of the polygon, which are manually extracted from the top surface of an object, are used for the prediction of the base and shadow positions on the 2D satellite image based on the height of the object. Once the predicted base and shadow positions match their positions in the image by observation, the height of the object is determined. As a consequence, the 3D object is reconstructed simultaneously. We have developed a full suite of the software for realtime extracting, editing, reconstructing and visualising of the 3D objects from single IKONOS image
