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A Comparative Study on Object Segregation in Satellite Images using PSO and K-Means

by K.Aarthikha, J.Gowtham, M.Siva Sangari
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 34 - Number 8
Year of Publication: 2011
Authors: K.Aarthikha, J.Gowtham, M.Siva Sangari
10.5120/4117-5970

K.Aarthikha, J.Gowtham, M.Siva Sangari . A Comparative Study on Object Segregation in Satellite Images using PSO and K-Means. International Journal of Computer Applications. 34, 8 ( November 2011), 9-13. DOI=10.5120/4117-5970

@article{ 10.5120/4117-5970,
author = { K.Aarthikha, J.Gowtham, M.Siva Sangari },
title = { A Comparative Study on Object Segregation in Satellite Images using PSO and K-Means },
journal = { International Journal of Computer Applications },
issue_date = { November 2011 },
volume = { 34 },
number = { 8 },
month = { November },
year = { 2011 },
issn = { 0975-8887 },
pages = { 9-13 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume34/number8/4117-5970/ },
doi = { 10.5120/4117-5970 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:20:33.059505+05:30
%A K.Aarthikha
%A J.Gowtham
%A M.Siva Sangari
%T A Comparative Study on Object Segregation in Satellite Images using PSO and K-Means
%J International Journal of Computer Applications
%@ 0975-8887
%V 34
%N 8
%P 9-13
%D 2011
%I Foundation of Computer Science (FCS), NY, USA
Abstract

“Object Segregation in Satellite Images” deals with the aerial and satellite images to calculate the open space area. They are complex to analyze high resolution satellite image. The satellite captures the entire image including the open space, buildings, cars, peoples, etc. This automatic extraction algorithm uses some filters and segmentations and grouping is applying on satellite images. The result images are used to calculate the total available open space area and the built up area. This paper deals with the segregation of aerial and satellite images to manipulate the objects in open space area object segregation is necessary for remote sensing applications. The remote sensing is used for manipulate the area of the land mass according to time. Satellite image can be segregated in respected time interval for measuring the area land mass. In this paper a comparison study has been made between various algorithms like Particle Swarm Optimization (PSO), K-Means Clustering Algorithm.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Satellite images Filtration Segmentation Particle Swarm Optimization Image Segmentation K means

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