DocumentCode
576328
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
fYear
2012
fDate
22-27 July 2012
Firstpage
4295
Lastpage
4298
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE International
Conference_Location
Munich
ISSN
2153-6996
Print_ISBN
978-1-4673-1160-1
Electronic_ISBN
2153-6996
Type
conf
DOI
10.1109/IGARSS.2012.6351718
Filename
6351718
Link To Document