Title :
Use of Darwinian Particle Swarm Optimization technique for the segmentation of Remote Sensing images
Author :
Ghamisi, Pedram ; Couceiro, Micael S. ; Ferreira, Nuno M. Fonseca ; Kumar, Lalan
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.
Keywords :
geophysical image processing; image segmentation; particle swarm optimisation; remote sensing; DPSO; Darwinian particle swarm optimization technique; image segmentation; n-1 optimal n-level threshold; remote sensing images; Algorithm design and analysis; Image segmentation; Optimization; Particle swarm optimization; Remote sensing; Sociology; Statistics; multilevel segmentation; remote sensing; swarm optimization;
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE International
Conference_Location :
Munich
Print_ISBN :
978-1-4673-1160-1
Electronic_ISBN :
2153-6996
DOI :
10.1109/IGARSS.2012.6351718
