A method of remote sensing data parallel processing based on subdivision grid

被引：0

作者：

Wu, Feilong ^{[1
,2
]}

Cheng, Chengqi ^{[3
]}

Chen, Bo ^{[3
]}

Zhou, Mingya ^{[1
]}

机构：

[1] Institute of Remote Sensing and GIS, Peking University, Beijing

[2] Unit 61139, Beijing

[3] College of Engineering, Peking University, Beijing

来源：

Journal of Computational Information Systems | 2015年 / 11卷 / 18期

关键词：

Computing cluster; Parallel computing; Remote sensing data; Subdivision grid;

D O I：

10.12733/jcis15486

中图分类号：

学科分类号：

摘要：

Computing cluster technology is widely applied in remote sensing data parallel processing. This article proposes that introducing GeoSOT earth subdivision grid into computing cluster, to develop a method of remote sensing data parallel processing based on subdivision grid. The article elucidates GeoSOT grid and its coding at first, analyzes the advantages of GeoSOT grid in remote sensing data parallel processing; then introduces subdivision computing cluster architecture and multilevel nature of computing scheduling method based on subdivision code; then introduces load balancing control method of multilevel nature of subdivision computing cluster which based on subdivision code, and takes two cases, target detection parallel processing and fast Fourier transform processing in parallel as applicable examples. © 2015 by Binary Information Press.

引用

页码：6759 / 6766

页数：7

共 11 条

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