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

Title
Use of Darwinian Particle Swarm Optimization technique for the segmentation of Remote Sensing images
Publication Date
2012
Author(s)
Ghamisi, Pedram
Couceiro, Micael S
Ferreira, Nuno M F
Kumar, Lalit
( author )
OrcID: https://orcid.org/0000-0002-9205-756X
Email: lkumar@une.edu.au
UNE Id une-id:lkumar
Type of document
Conference Publication
Language
en
Entity Type
Publication
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Place of publication
Los Alamitos, United States of America
DOI
10.1109/IGARSS.2012.6351718
UNE publication id
une:12500
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.
Link
Citation
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium (IGARSS), p. 4295-4298
ISSN
2153-7003
2153-6996
ISBN
9781467311588
9781467311595
9781467311601
Start page
4295
End page
4298

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