Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/12294
Title: Use of Darwinian Particle Swarm Optimization technique for the segmentation of Remote Sensing images
Contributor(s): Ghamisi, Pedram (author); Couceiro, Micael S (author); Ferreira, Nuno M F (author); Kumar, Lalit (author)orcid 
Publication Date: 2012
DOI: 10.1109/IGARSS.2012.6351718
Handle Link: https://hdl.handle.net/1959.11/12294
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.
Publication Type: Conference Publication
Conference Name: IGARSS 2012: International Geoscience and Remote Sensing Symposium - Remote Sensing for a Dynamic Earth, Munich, Germany, 22nd - 27th July, 2012
Source of Publication: Proceedings of the IEEE International Geoscience and Remote Sensing Symposium (IGARSS), p. 4295-4298
Publisher: IEEE: Institute of Electrical and Electronics Engineers
Place of Publication: Piscataway, United States of America
ISSN: 2153-6996
2153-7003
Field of Research (FOR): 090905 Photogrammetry and Remote Sensing
Peer Reviewed: Yes
HERDC Category Description: E1 Refereed Scholarly Conference Publication
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Appears in Collections:Conference Publication
School of Environmental and Rural Science

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