Use of Darwinian Particle Swarm Optimization technique for the segmentation of Remote Sensing images

Pedram Ghamisi,Lalit Kumar,Nuno M F Ferreira,Micael S Couceiro

doi:10.1109/igarss.2012.6351718

Use of Darwinian Particle Swarm Optimization technique for the segmentation of Remote Sensing images

Pedram Ghamisi, Lalit Kumar + Show 2 more

https://doi.org/10.1109/igarss.2012.6351718

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Publication Date: Jul 1, 2012

Citations: 28

Affiliation: K.N.Toosi University of Technology, University of New England, Polytechnic Institute of Coimbra, Institute for Systems Engineering and Computers, University of Coimbra

#Segmentation Of Remote Sensing Images #Darwinian Particle Swarm Optimization + Show 8 more

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Abstract

In this work, a novel method for segmentation of Remote Sensing (RS) images based on the Darwinian Particle Swarm Optimization (DPSO) for determining the n-1 optimal n-level threshold on a given image is proposed. The efficiency of the proposed method is compared with the Particle Swarm Optimization (PSO) based segmentation method. Results show that DPSO-based image segmentation performs better than PSO-based method in a number of different measures.

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