Effective Analysis of Data from Remote Sensing Application

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Published: Jun 28, 2016
Keywords:
Big Data, remote sensing Big Data acquisition, data processing unit, data analysis decision unit

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Santhosh Gowda T.R
Vijay G.R

Abstract

At present applications like Internet, mobile devices, social media, geospatial devices, sensors will generate massive volume of data.Processing and extracting the useful information in an efficient manner leads a system toward a major computational challenges, such as to analyze, aggregate, and store data. For these Big data analytical architecture is proposed. The architecture comprises three main units, such as 1) remote sensing Big Data acquisition unit (RSDU); 2) data processing unit (DPU); and 3) data analysis decision unit (DADU). RSDU acquires data from the sensors and sends this data to the Base Station. DPU provides an efficient processing of Data by providing filtration, load balancing, and parallel processing. DADU is responsible for compilation, storage of the results, and generation of decision based on the results received from DPU.

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How to Cite
[1]
Santhosh Gowda T.R and Vijay G.R, “Effective Analysis of Data from Remote Sensing Application”, Int. J. Comput. Eng. Res. Trends, vol. 3, no. 6, pp. 279–283, Jun. 2016.
Issue
Vol. 3 No. 6 (2016): June (2016) Issue
Section
Research Articles
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