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：2007
卷号：XXXVI–4/W45
出版社：Copernicus Publications
摘要：The traditional mapping on digital aerial photos and elevation models has its limits at steep slopes where the surface is only very sparselysampled even in high resolution data sets. As a consequence, there is too few information available to perform a detailed mapping. Inthis paper we present a framework for augmenting terrain data with additional photos and show how to utilize this additional informationin the mapping process. The photos are matched to a textured elevation model by marking correspondence points through a simplepoint-and-click interface, which are then used to solve for the camera projection matrix. To compensate for different lighting conditionsduring acquisition, a histogram matching is applied in order to align the color distributions of the photo and the data set. The photos arerendered onto the terrain using projective texture mapping. If multiple overlapping photos are available, the best views are determinedand blended together to avoid visible seams. The photos are incorporated into the segmentation process by computing a patch-wise,adaptive parameterization of the terrain geometry which defines a mapping of the surface into the plane with minimized distortion. Theresulting image patches are connected appropriately at their boundaries and used as input for the segmentation algorithm.
