Research Journal of Information Technology1815-74322151-7959Science International10.3923/rjit.2015.58.69KundraHarish SadawartiHarsh 1201571Swarm intelligence is a global research area to improve the optimization of
various soft computing and nature inspired techniques. In this study, we have
applied the hybrid algorithm of Cuckoo Search (CS) and Particle Swarm Optimization
(PSO) for remote sensing image classification of natural terrain features. Remote
sensing is the method of acquiring, processing and interpreting the satellite
images and related geo-spatial data without any physical contact of that region.
The main advantage of using the hybrid concept is that the search strategy used
in CS for finding the best host nest for cuckoo egg is resolved by the best
position of PSO concept. By using this proposed algorithm, it becomes easier
to classify the terrain features and obtained results shows the higher efficiency
and greater kappa coefficient value as compare to other swarm intelligence techniques.
We have successfully applied the hybridization of Cuckoo Search (CS) and Particle
Swarm Optimization (PSO) for classifying diversified land cover areas in a remote
sensing satellite image.]]>Banerjee, S., A. Bharadwaj, D. Gupta and V.K. Panchal,201226772Beni, G. and J. Wang,19891989Bharadwaj, A., D. Gupta and V.K. Panchal,20122012pp: 991996Bonabeau, E., M. Dorigo and G. Theraulaz,19991st Edn.,Congalton, R.G.,1991373546Goel, L., D. Gupta and V.K. Panchal,20112011pp: 165170Goel, S., A. Sharma, P. Bedi and V.K. Panchal,20111115Kennedy, J. and R. Eberhart,19951995pp: 19421948Lillesand, T.M. and R.W. Kiefer,20004th Edn.,Pages: 724Pages: 724Panchal, V.K., H. Kundra and J. Kaur,20099132140Panchal, V.K., S. Goel and M. Bhatnagar,20092009pp: 15881591Payne, R.B., M.D. Sorenson and K. Kiltz,2005Pages: 644Pages: 644Story, M. and R.G. Congalton,198652397399Verbyla, D.L. and T.O. Hammond,199516581587Yang, X.S. and S. Deb,20092009pp: 210214Shi, Y. and R. Eberhart,19981998pp: 6973