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：1998
卷号：XXXII Part 4
出版社：Copernicus Publications
摘要：In cartographic applications, area-based matching techniques are commonly used for stereo matching of low-resolution aerial images.However, these techniques fail in matching high-resolution aerial images of urban areas because of relatively frequent and sharp depthdiscontinuities and large occluded or textureless areas present in such images, as compared to low-resolution aerial images.This paper presents a hierarchical correlation-based matching technique which fuses information from multiple image pairs and employs asupport-collection mechanism in the object space as well as a relaxation algorithm to resolve ambiguities, producing accurate and densedisparity maps. The disambiguating power of the algorithm and the use of multiple pairs allow us to use very small correlation windows, sothat the computational complexity is kept small and boundary overreach problem is avoided. They also allow us not to use any thresholdon correlation values; as a result, very dense disparity maps can be obtained
