文章基本信息

标题：FAST PARALLEL IMAGE MATCHING ALGORITHM ON CLUSTER
本地全文：下载
作者：Zhenge Qiu ; ZengBo Qian ; Zhihui Gong 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：2002
卷号：XXXIV Part 4
出版社：Copernicus Publications
摘要：This paper introduces our experiences with developing fast Parallel stereo matching algorithm on Cluster. The key technique of generating DEMs or DSMs' from remote-sensing images is stereo matching, and it's one of the most time consuming algorithms, so that many efforts have been carried out to develop fast algorithms. Many difficulty problems continue to challenge researchers in this field; they are occlusion, large parallax range, and radiant distortion. To solve these problems need more complicated image- matching algorithm that is more time consuming. Recent advance in high-speed networks, rapid improvement in microprocessor design, and availability of highly performing clustering software implementations enables cost-effective high-performance parallel computing on clusters very attractive. The cluster is a very useful platform on which to develop fast parallel image matching algorithm dealing with the difficult problems above-mentioned. A novel operator of image matching based on no-uniform image resample is used in parallel image matching algorithm, this operator reduces the influence of geometric distortion on those matching operators which are in effect under equal parallax assumption, for example, correlation operator, and expands the scope of them to be in effect
关键词：Parallel Algorithm; Cluster; DSM (Distributed Shared Memory); Image Matching; DEM ; ( ; Digital Elevation ; Model); No-uniform Image sampling