| 基于集群的影像并行OPTA算法研究 |
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| 引用本文： | 刘航冶,李二森,张振华.基于集群的影像并行OPTA算法研究[J].测绘工程,2011,20(2):35-38. |
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| 作者姓名： | 刘航冶 李二森 张振华 |
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| 作者单位： | 信息工程大学测绘学院;东华理工大学江西省数字国土重点实验室;矿山空间信息技术国家测绘局重点实验室;66444部队; |
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| 基金项目： | 矿山空间信息技术国家测绘局重点实验室开放基金资助项目(KLM200904) |
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| 摘 要： | 并行计算是提高海量遥感影像细化处理速度的有效途径.基于对OPTA细化算法的分析,深入研究OPTA细化并行算法中数据划分和数据通信优化等关键问题,提出一种适合集群并行处理的通信优化并行算法,实验证明该算法具有良好的加速比,适合集群计算环境下海量遥感影像的细化处理.
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| 关 键 词： | 细化 集群 并行计算 数据划分 数据通信 |
Study on image parallel OPTA algorithm based on thinning cluster |
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| LIU Hang-ye,LI Er-sen,ZHANG Zhen-hua.Study on image parallel OPTA algorithm based on thinning cluster[J].Engineering of Surveying and Mapping,2011,20(2):35-38. |
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| Authors: | LIU Hang-ye LI Er-sen ZHANG Zhen-hua |
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| Institution: | LIU Hang-ye1,2,LI Er-sen1,3,ZHANG Zhen-hua4(1.Institute of Surveying and Mapping,Information Engineering University,Zhengzhou 450052,China,2.Key Laboratory of Digital Land,East China Institue of Technology,Fuzhou 344000,3.Mine Space Information Technology Key Laboratory of National Surveying and Mapping Agency,Jiaozuo 454000,4.66444 Troops,Beijing 100042,China) |
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| Abstract: | Parallel computing is an effective way for improving massive remotely sensed image thinning.Based on the analysis of OPTA thinning algorithm,key problems in parallel OPTA thinning algorithm such as data partitioning and data communication are studied furthur,and an optimize communication algorithm which is suitable for cluster computing is put forward.It is proved by experiment that the algorithm has good speedup ratio and is potential for parallel processing of massive remotely sensed image in cluster envi... |
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| Keywords: | image thinning cluster parallel computing data partitioning data communication |
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