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 B1
页码：102-107
出版社：Copernicus Publications
摘要：Tradition ally, image - and - map registration is carried out using low - level image processing techniques. One of inevitable problems resulted from a low - level image processing technique is the need to decide what the ultimately desired object is. An a lternative way to register images and maps is to use a 'top - down' or high - level image understanding approach, for instance, a geometric - structure - matching (GSM) technique. The algorithm of the proposed GSM technique is validated using a Quickbird image and the corresponding cadastral map. The boundary lines and polygons of cadastral parcels are used as the elements of geometric structure in the studied case. A n a utomatic technique has been developed to match image features and the corresponding vector data. In addition, pri or knowledge about the error model in the procedures of image - and - map matching has not been fully understood, therefore, this paper also concentrate s on the error model required to implement the algorithm and to achieve a high level of automation. T he erro r model is vital to give a threshold for optimising the results of the proposed GSM technique. Preliminary results show that errors of the order of 5m from the procedures of image - and - map registration are possible , and that error is comparable with the pre dicted one . It is possible to eliminate the requirements of manual intervention for registering images and maps , provided that accurate vector data are available. Potential applications of the proposed algorithm include providing ground control for automat ic photogrammetry and updating data of spatial information systems
