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：2010
卷号：XXXVIII-4-8-2/W9
页码：96-100
出版社：Copernicus Publications
摘要：Three dimensional data are required for the modeling of urban environments and determining their spatio-temporal changes. The required data are mainly acquired using photogrammetric and lidar collection methods and the data are collected either simultaneously or at different time epochs. In this paper we present the approach and the preliminary results of co-registering these two types of data. This data alignment is based on the 3D surface transformation, where the lidar point cloud is transformed in to the DSM reference system, thus permitting the accurate transformation of lidar data in the image space for determining any spatial changes. The transformation parameters are determined based on corresponding planar surfaces extracted in each data set. A region growing algorithm based on the normal vector directions of the generated TIN data is applied to extract planar clusters following by plane fitting to derive the plane primitives. The rotation and translation parameters between the DSM and lidar data are them determined based on the plane normal vectors and plane centroids. The transformed lidar point cloud is t then back-projected on the images used to derive the DSM and their image location serve to assess the quality of the co-registration
