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 B5
页码：1-6
出版社：Copernicus Publications
摘要：Terrestrial laser scanners are becoming increasingly important for many fields of imaging applications, providing a great amount of 3D positional information in a fast and efficient way. This information is always expressed by means of coordinates in a somewhat random 3D space defined by the scanner orientation, which changes whenever the scanner is moved. Therefore, targets are usually employed either for registration (i.e. for the referencing of the data in a common 3D space) or for referencing of the data into a local coordinate system. The use of targets for these purposes is a standardized process, which is invariably carried out by proprietary software. However, the algorithms used for the identification of targets (i.e. automated definition of the centre of the target) are not described by the software vendors. In this paper, methods for automating target identification which are based on fuzzy classification, gridding and averaging techniques are presented. Experiments are conducted using a Cyrax 2500 terrestrial laser scanner in laboratory conditions. The performance of the proposed methods is compared and assessed with reported methods from published literature. Furthermore, given the fact that due to reflectance topographic artefacts are observed on the surface of the reflective targets, experiments are also conducted for different scan angles and distances
