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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 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 | Statistics to Oct 2018: | Visitors: 242 Views: 248 Downloads: 1 |
| Appears in Collections: | Conference Publication School of Environmental and Rural Science |
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