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：2000
卷号：XXXIII Part B3(/1+2)
页码：206-213
出版社：Copernicus Publications
摘要：Image orientation is a basic problem in Digital Photogrammetry. While interior and relative orientations have been successfully automated, the absolute orientation (or space resection) continues to be an important topic for research. An approach has been developed to automate the absolute orientation based on relational matching and a heuristic that uses the analytical relation between image and object-space straight lines. A build-in self-diagnosis is also integrated in this method, involving the implementation of data snooping statistic test in the process of spatial resection using the Iterated Extended Kalman Filtering (IEKF). The aim of this paper is to present the basic principles of the proposed approach and results based on real data
