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：1999
卷号：XXXII-3/W14
出版社：Copernicus Publications
摘要：Laser altimetry has provided a source of elevation information, which is both accurate and spatially dense. This information is beneficial for the production of visible surface models, especially in areas where traditional photogrammetric methods are unable to provide accurate heights. Although laser altimetry has many benefits, it also has limitations due to its lack of thematic information and due to calibration errors that may occur during data acquisition. Therefore, it would be beneficial to use both laser data and photogrammetric data to achieve the best results. To work with both data sets simultaneously, it must be ensured that the data sets are accurately registered. The research presented in this paper describes an algorithm developed specifically for registering surfaces acquired using different methods, and in particular, laser altimetry and photogrammetry. The surface registration algorithm uses the difference in elevation between the surfaces and the gradients of the surfaces to produce observation equations. These are solved using an iterative least-squares adjustment. The transformation parameters that are determined by the algorithm include scale, translations and rotations. Testing was undertaken to assess the capabilities of the algorithm. Initial tests were carried out using synthetic data sets with known transformations. Further testing was undertaken using airborne laser data and aerial imagery covering an urban site located at Ocean City, Maryland. The results of the testing with this data set showed a systematic error in the location of the laser data as compared to the photogrammetric data. This paper details the approach taken, including the presentation of the equations used to determine the relevant transformation parameters, and the results of the initial experimentation
