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：2008
卷号：XXXVII Part B1
页码：169-176
出版社：Copernicus Publications
摘要：Various methods exist for automatic registration of different kinds of image datasets. The datasets could be aerial or satellite images, maps, LiDAR data, etc. In this paper we propose a method for the registration of aerial images and LiDAR data. Our approach utilizes the so-called SIFT algorithm by which distinctive features are extracted from both aerial images and LiDAR intensity data. The extracted features are then automatically matched and the aerial image and LiDAR intensity data are registered in the subsequent stage. The invariance of the SIFT features to image scale and rotation and the robustness of the features with respect to changes in illumination, noise and to some extend changes in viewpoint may qualify those features particularly for our purpose. For SIFT feature extraction an open MATLAB implementation is used and integrated in the overall image registration process. This paper describes our approach and presents the results obtained from a LiDAR test site in Stuttgart, Germany
关键词：SIFT; Registration; Matching; LiDAR; MATLAB program; Transformation; Gaussian Function
