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：1992
卷号：XXIX Part B4
页码：358-364
出版社：Copernicus Publications
摘要：This paper handles the aspect of metric information extraction from SPOT images and focuses mainly on sensormodelling and the geometric accuracy potential of polynomial mapping functions, and secondly on the use ofthese functions for automated derivation of DTMs and generation of digital orthophotos.The sensor modelling is based on V. Kratky's strict geometrical model. First, an accuracy analysis is providedbased on points of varying definition quality covering the whole image format and having a height range of 1700m. Different computation versions and an accuracy comparison is presented. Kratky also provides polynomialmapping functions to transform from image to image, object to image, and image to object space. The mappingfunctions are much faster, easier to implement, and almost equally accurate as compared to stricttransformations. The accuracy of these functions will be assessed. This is crucial, since these polynomialfunctions are subsequently used for automatic DTM and orthophoto generation.The automatic DTM generation is based on a modified version of the Multiphoto Geometrically ConstrainedMatching (MPGC). The polynomial functions for the image to image transformation are used to define geometricconstraints in image space. Thus, the search space is reduced along almost straight epipolar lines and the successrate and reliability of matching increase. The deviation of the epipolar lines from straight lines will be analysedfor different image positions, heights and height approximations. The generation of digital orthophotos is fullyautomated and is based on polynomial functions modelling the object to image transformation. Aspectsregarding speed and accuracy will be analysed.
