| 基于网格服务的遥感图像并行融合 |
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| 引用本文： | 曾少斌,谢传节,李佳琪,史磊.基于网格服务的遥感图像并行融合[J].地球信息科学,2010,12(2):269-274. |
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| 作者姓名： | 曾少斌 谢传节 李佳琪 史磊 |
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| 作者单位： | 中国科学院地理科学与资源研究所资源环境与信息系统国家重点实验室, 北京 100101 |
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| 基金项目： | 国家高技术研究发展计划项目（2007AA122203）. |
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| 摘 要： | 图像融合是一项计算密集型的操作,对计算机系统的性能要求很高,硬件的发展远赶不上计算需求的增长,传统的遥感图像处理方式已经不能很好地适应新的资源共享模式,故软件方面的改进是必然的选择。网络技术的发展,使网络带宽有了很大的提高,大量的遥感图像通过网络发布成可在线获取的共享资源,利用网络和这些资源能大幅提升融合处理的速度。网格是网络的进一步延伸,是一个变化性较大的动态系统,资源的动态变化是网格的重要特征,数据的更新、节点的加入或离开、节点负载的变化、网络性能的变化等都会影响网格服务的性能,只有及时地掌握这些动态,并根据情况实时进行调整,才能保证较高的执行效率。基于网格服务的遥感图像并行融合的设计,在网格环境下,通过对资源和服务状态属性的分析,生成最优化的方案进行并行处理,可提供高效的遥感图像融合处理服务。
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| 关 键 词： | 图像融合 并行算法 网格计算 |
| 收稿时间： | 2009-09-29 |
Parallel Fusion for Remote Sensing Images Based on Grid Services |
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| ZENG Shaobin,XIE Chuanjie,LI Jiaqi,SHI Lei.Parallel Fusion for Remote Sensing Images Based on Grid Services[J].Geo-information Science,2010,12(2):269-274. |
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| Authors: | ZENG Shaobin XIE Chuanjie LI Jiaqi SHI Lei |
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| Institution: | State Key Laboratory of Resources and Environment Information System,Institute of Geographical Sciences &|Natural Resources Research,CAS,Beijing 100101,China |
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| Abstract: | The bandwidth of network has been greatly improved owing to the development of network,a large number of remote sensing images released on the network as shared resources which could be accessed online.And with the development of network,the traditional remote sensing image processing methods are not well adapted to the new resource-sharing model,so,it is an easy choice to make improvement on software functions.Gird computing is being more attractive environment for parallel image processing on web because of the high bandwidth and plentifully shared computing resources available on the Grid.Grid computing is a resources sharing environment on the web,and resources dynamic changing is an essential characteristic of the Grid,not only the usage of the resources is changing but also new computing resource can join or leave dynamically.As the Grid is a frequently varied system,data updating,nodes joining or leaving,the load of node changing and the performance of the network changing will all affect the performance of the Grid services,so only these dynamic information be collected promptly and the execution plan timely adjustment be made that the high performance process could be guaranteed.The main idea is to utilize the Grid architecture WSRF（Web Service Resource Framework）,choose a best plan to do parallel image processing according to the status of services,and provide efficient remote sensing image fusion service.In this paper,a service-oriented architecture for parallel remote sensing image on Grid is presented at first,and different kinds of services of the architecture are introduced briefly.There are five components for the architecture,which can trace and record resources dynamic changing on the Grid and provide an environment for parallel remote sensing image processing.Then,a parallel remote sensing image fusion algorithm on the architecture is presented in detail.The algorithm generate optimal parallel execution plan adaptively for the parallel image fusion according to the resource changes on the Grid.The equations for evaluating the costs of different execution plan are also presented.At last,a testing Grid environment is setup and the partial result image of the image fusion of a TM image and a Spot image is illustrated. |
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| Keywords: | grid computing image fusion parallel algorithm |
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