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  • 标题:An Approach to Remote Sensing Application Using Cloud Computing
  • 本地全文:下载
  • 作者:Aakanksha Aundhkar ; Nutan Chopde ; Pramila Parkale
  • 期刊名称:International Journal of Innovative Research in Computer and Communication Engineering
  • 印刷版ISSN:2320-9798
  • 电子版ISSN:2320-9801
  • 出版年度:2018
  • 卷号:6
  • 期号:2
  • 页码:1172
  • DOI:10.15680/IJIRCCE.2018.0602092
  • 出版社:S&S Publications
  • 摘要:The benefits of remote resources electronic world step by step create monstrous volume of progressingdata (on a very basic level implied the articulation Enormous Data), where knowledge data has a potential criticalness ifgathered and accumulated reasonably. In the present time frame, there is an unfathomable course of action added tosteady remote distinguishing Big Data than it shows up at to begin with, and isolating the significant information in asuccessful way drives a structure toward a vital computational difficulties, for instance, to examine, aggregate, andstore, where data are remotely accumulated. Keeping in observe the beforehand specified segments, The proposedconfiguration includes three rule units, for instance,1) Remote Sensing Big Data acquisition Unit (RSDU); 2) DataProcessing Unit (DPU); and 3) Data Analysis Decision Unit (DADU). The proposed building has the limit of isolating,stack modifying, and parallel treatment of simply supportive data. Along these lines, it realizes successfully researchingconstant remote identifying Big Data using earth observatory system.In addition, the proposed building has the limit ofsecuring moving towards data to perform detached examination on, as it were, set away dumps, when required. Finally,a point by point examination of remotely recognized earth observatory Big Data for land and sea zone are given usingCloud computing.
  • 关键词:Big Data; Remote Sensing Big Data acquisition Unit (RSDU); Data Processing Unit (DPU); Data;Analysis Deci-sion Unit (DADU); stack modifying
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