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

Author(s)
Ghamisi, Pedram
Couceiro, Micael S
Ferreira, Nuno M F
Kumar, Lalit
Publication Date
2012
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.
Citation
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium (IGARSS), p. 4295-4298
ISBN
9781467311588
9781467311595
9781467311601
ISSN
2153-7003
2153-6996
Link
https://hdl.handle.net/1959.11/12294
Language
en
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Title
Use of Darwinian Particle Swarm Optimization technique for the segmentation of Remote Sensing images
Type of document
Conference Publication
Entity Type
Publication

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