International Journal of Computer Applications |
Foundation of Computer Science (FCS), NY, USA |
Volume 6 - Number 5 |
Year of Publication: 2010 |
Authors: Navdeep Kaur Johal, Samandeep Singh, Harish Kundra |
10.5120/1074-1403 |
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
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.