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：916-924
出版社：Copernicus Publications
摘要：This paper pre.sents a matching algorithm for automatic DTM generation from SPOT images that provides dense,accurate and reliable results and attacks the problem of radiometric differences between the images. Theproposed algorithm is based on a modified version of the Multiphoto Geometrically Constrained Matching(MPGC). It is the first algorithm that explicitly uses the SPOT geometry in matching, restricting thus the searchspace in one dimension, and simultaneously providing pixel and object coordinates. This leads to an increase inreliability, and to reduction and easier detection of blunders. The sensor modelling is based on Kratky'spolynomial mapping functions to transform between the image spaces of stereopairs. With their help epipolarlines that are practically straight can be determined and the search is constrained along these lines. Thepolynomial functions can also provide approximate values, which are further refined by the use of an imagepyramid.Radiometric differences are strongly reduced by performing matching not in the grey level but in gradientmagnitude images. Thus, practically only the information in stripes along the edges is used for matching. Edgesthat exist in only one image can be detected by subtracting quasi registered images in the upper levels of animage pyramid and by consistency checks. The points to be matched are selected by an interest operator inpreprocessed gradient images. Gross errors can be detected by statistical analysis of criteria that are provided bythe algorithm.The results of an extensive test using a stereo SPOT model over Switzerland will be reported. Different cases ofradiometric differences, and matching with different options and the qualitative comparison of the results basedon forty thousand check points will be presented
