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：2006
卷号：XXXVI Part 5
出版社：Copernicus Publications
摘要：Within the scope of a common evaluation of brightness, range and intensity images, this article introduces a new area based approach to achieve the simultaneous orientation of multiple data types. The actual innovation is the combined least-squares adjustment, which is an extension of object space image matching with ranges and intensities as additional observations. The complete mathematical model is specified and discussed. For a representation of complex object surfaces, the simultaneous consideration of multiple surface patches is described. The principle of this approach is shown with a synthetic data sample and evaluated with a real data set of a hybrid terrestrial laser scanner. In the experiments it is demonstrated, that in cases where the orientation of single sensors fails, the simultaneous orientation of hybrid sensors is still successful. Additionally, it is shown that the simultaneous surface reconstruction improves the orientation results and that brightness images can be oriented relative to laser scanner data including range and intensity images
关键词：Orientation; Surface matching; Reconstruction; Data fusion; Terrestrial laser scanning
