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An Algorithm for Pre-Processing of Satellite Images of Cyclone Clouds

by Ishita Dutta, Sreeparna Banerjee, Mallika De
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 78 - Number 15
Year of Publication: 2013
Authors: Ishita Dutta, Sreeparna Banerjee, Mallika De
10.5120/13598-1317

Ishita Dutta, Sreeparna Banerjee, Mallika De . An Algorithm for Pre-Processing of Satellite Images of Cyclone Clouds. International Journal of Computer Applications. 78, 15 ( September 2013), 13-17. DOI=10.5120/13598-1317

@article{ 10.5120/13598-1317,
author = { Ishita Dutta, Sreeparna Banerjee, Mallika De },
title = { An Algorithm for Pre-Processing of Satellite Images of Cyclone Clouds },
journal = { International Journal of Computer Applications },
issue_date = { September 2013 },
volume = { 78 },
number = { 15 },
month = { September },
year = { 2013 },
issn = { 0975-8887 },
pages = { 13-17 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume78/number15/13598-1317/ },
doi = { 10.5120/13598-1317 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:51:39.000658+05:30
%A Ishita Dutta
%A Sreeparna Banerjee
%A Mallika De
%T An Algorithm for Pre-Processing of Satellite Images of Cyclone Clouds
%J International Journal of Computer Applications
%@ 0975-8887
%V 78
%N 15
%P 13-17
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Rapid advances in satellite imaging technologies have made it possible to obtain images of the atmosphere using different modalities and accordingly, make weather predictions. The progress of cyclone storms is one such area where cloud intensity images exhibit characteristic patterns at various stages of evolution. These patterns have been classified using Dvorak's technique, which is based on expert human judgment. Recent research efforts are being made to perform a computer analysis of these intensity patterns in order to make the classification process more objective. However, in order to perform an analysis of these image intensity patterns, the satellite images of different modalities need to be preprocessed to extract the dominant cyclone cloud patterns. This paper describes our algorithm to obtain cloud intensity contours to be used for pattern analysis. Results obtained using Visible (VIS) and Enhanced Infra-Red satellite images of cyclones have been found to be promising.

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Index Terms

Computer Science
Information Sciences

Keywords

Cyclone images Visible images Enhanced Infra-Red images Dvorak Technique

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