A Cluster-based Parallel Geometric Correction Algorithm for Photogrammetry

摘要：

With the rapid development of data acquiring technology, the amount of image data that need to be geometrically corrected in photogrammetry becomes huge, thus processing time is becoming unbearable, especially in some applications that require realtime processing. To solve this kind of problem, the parallel geometric correction algorithm is studied, and a new parallel algorithm based on cluster is put forward. Load balanced data division strategy are analyzed and the issue of data communication is discussed. Experiments show that new algorithm can achieve good performance and has favorable expansibility.

关键词： cluster parallel computing geometric correction photogrammetry collinearity equation

作者: Hangye Liu Yongsheng Zhang Hangye Liu Shuang Song

作者单位: Dept. of Remote Sensing Information Engineering Zhengzhou Institute of Mapping an Surveying Zhengzho Dept. of Remote Sensing Information Engineering Zhengzhou Institute of Mapping an Surveying Zhengzho Jiangxi Province Key Lab for Digital Land and East China Institute of Technology FuZhou, PR.China

会议类型: 国际会议

会议名称: The First International Conference on Networking and Distributed Computing(第一届网络与分布式计算国际会议 ICNDC 2010)

会议地点: 杭州

会议语种:英文

页码: 24-27

在线出版日期: 2010-10-21（万方平台首次上网日期，不代表论文的发表时间）