文章基本信息

标题：GPU-based Orthorectification of Digital Airborne Camera Images in Real Time
本地全文：下载
作者：U. Thomas ; F. Kurz ; D. Rosenbaum 等
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：589-594
出版社：Copernicus Publications
摘要：The usage of airborne camera systems for near real time applications will increase in the near future. This paper purposes a new hardware/software architecture to establish real time computation of images obtained from the DLR wide area airborne 3K-camera system. The main applications of our system are e.g. to monitor automotive traffic, to determine the workload of public road networks during mass events, or to obtain a survey of damages in disaster areas in real time. Therefore, many different image processing tasks have to be executed in real time. Orthorectification of images is necessary prior to all other processing tasks, e.g. before mapping data from street data bases into images or before tracking of vehicles. Nowadays, the calculation becomes possible due to fast graphic processing units (GPU) and with the support of a distributed real time system. In order to achieve real time image processing, we suggest a GPU-based algorithm for image orthorectification. The GPS/IMU-system provides the position and orientation of the aircraft with 128Hz quite accurately. Assuming synchronized measurements with the camera system and given camera calibration, direct orthorectification is implemented using OpenGL. Therewith, we are able to process high resolution images consisting of 16 MPixels with a frame rate of 3 Hz. This paper describes the implementation of the real time algorithm and gives first results
关键词：Direct georeferencing; orthorectification; real time image processing; distributed system architecture; GPU- ; computation