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A hybrid FPAB/BBO Algorithm for Satellite Image Classification

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Author(s): Navdeep Kaur Johal | Samandeep Singh | Harish Kundra

Journal: International Journal of Computer Applications
ISSN 0975-8887

Volume: 6;
Issue: 5;
Start page: 31;
Date: 2010;
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Keywords: FPAB | Biogeography Based Optimization | Satellite Image Classification

ABSTRACT
In the past years, remote sensing has been used for theclassification of satellite image on a very large scale. This paperdeals with image classification by using swarm computingtechnique. In this work, we use a new swarm data clusteringmethod based upon flower pollination by artificial bees to clusterthe satellite image pixels. The aim of clustering is to separate a setof data points into self-similar groups. Those clusters will befurther classified using Biogeography Based Optimization. Theresults indicate that highly accurate classification of the satelliteimage is obtained by using the proposed algorithm.

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