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Paper Details
Paper Title
Prediction of Natural Calamities Using Segregated Satellite Images
Authors
M.Murugesan, P.Baby
Abstract
Big data is the domain where most recent works are going on. The real time applications which handles huge amount of data can be implemented and analysed using Big data techniques. Accounting remote sensing application the satellite images are collected, Preprocessed and segregated into images of Land ,Sea, Ice. The existing architecture contains Remote Sensing Big data Acquisition Unit(RSDU), Data Processing Unit(DPU), Data Analysis and Decision Unit(DADU) supports only segregation and storage of images. Thus further analytical process on these segregational images is needed to predict the Natural calamities like Tsunami, Earthquake and Fire detection. The proposed system is consistent when compared to the existing systems as it collects the data from the user to predict the interest and analyses the item to find the features.
Keywords- Remote Sensing Big data Acquisition Unit,Data Processing Unit,Data analysis and Decision Unit.
Publication Details
Unique Identification Number - IJEDR1701030Page Number(s) - 188-191Pubished in - Volume 5 | Issue 1 | February 2017DOI (Digital Object Identifier) - Publisher - IJEDR (ISSN - 2321-9939)
Cite this Article
M.Murugesan, P.Baby, "Prediction of Natural Calamities Using Segregated Satellite Images", International Journal of Engineering Development and Research (IJEDR), ISSN:2321-9939, Volume.5, Issue 1, pp.188-191, February 2017, Available at :http://www.ijedr.org/papers/IJEDR1701030.pdf
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