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) | 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 Details: | 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: | Institute of Electrical and Electronics Engineers (IEEE) | Place of Publication: | Los Alamitos, United States of America | ISSN: | 2153-7003 2153-6996 |
Fields of Research (FoR) 2008: | 090905 Photogrammetry and Remote Sensing | Fields of Research (FoR) 2020: | 401304 Photogrammetry and remote sensing | Socio-Economic Objective (SEO) 2008: | 890202 Application Tools and System Utilities | Socio-Economic Objective (SEO) 2020: | 220499 Information systems, technologies and services not elsewhere classified | 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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