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《Science of Surveying and Mapping》 2006-06
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A parallel image matching algorithm running on cluster

ZHANG Chun-ling~(①),QIU Zhen-ge~(②)(①He Nan surveying and mapping bureau,Zhengzhou 450052,China;②Key Laboratory of National surveying and mapping bureau,CASM,Beijing100039,China)  
It is the key issue in remote sensing field to transform massive data into information in short time.Parallel image processing on high performance computing is one of the key technologies to solve this problem quickly.The performance of parallel program is closely related to computer architecture,besides CPU,including system framework,instruction structure and access speed of storage unit.Generally there are several ways to improve the performance of parallel program,such as coarse grain parallelism,instruction level and memory optimizing.In this paper,a parallel image matching algorithm on Cluster is studied.Based on this algorithm,the image processing speed can be improved with the help of coarse grain parallelism,instruction level and memory optimizing.
【CateGory Index】: TP751
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