International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
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Volume 6 - Issue 5 |
Published: September 2010 |
Authors: Navdeep Kaur Johal, Samandeep Singh, Harish Kundra |
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Navdeep Kaur Johal, Samandeep Singh, Harish Kundra . Article:A hybrid FPAB/BBO Algorithm for Satellite Image Classification. International Journal of Computer Applications. 6, 5 (September 2010), 31-36. DOI=10.5120/1074-1403
@article{ 10.5120/1074-1403, author = { Navdeep Kaur Johal,Samandeep Singh,Harish Kundra }, title = { Article:A hybrid FPAB/BBO Algorithm for Satellite Image Classification }, journal = { International Journal of Computer Applications }, year = { 2010 }, volume = { 6 }, number = { 5 }, pages = { 31-36 }, doi = { 10.5120/1074-1403 }, publisher = { Foundation of Computer Science (FCS), NY, USA } }
%0 Journal Article %D 2010 %A Navdeep Kaur Johal %A Samandeep Singh %A Harish Kundra %T Article:A hybrid FPAB/BBO Algorithm for Satellite Image Classification%T %J International Journal of Computer Applications %V 6 %N 5 %P 31-36 %R 10.5120/1074-1403 %I Foundation of Computer Science (FCS), NY, USA
In the past years, remote sensing has been used for the classification of satellite image on a very large scale. This paper deals with image classification by using swarm computing technique. In this work, we use a new swarm data clustering method based upon flower pollination by artificial bees to cluster the satellite image pixels. The aim of clustering is to separate a set of data points into self-similar groups. Those clusters will be further classified using Biogeography Based Optimization. The results indicate that highly accurate classification of the satellite image is obtained by using the proposed algorithm.