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

Pedram Ghamisi; Micael S Couceiro; Nuno M F Ferreira; Lalit Kumar

doi:10.1109/IGARSS.2012.6351718

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

Pedram Ghamisi
, Micael S Couceiro
, Nuno M F Ferreira
, Lalit Kumar

Ecosystem Management

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

33 Citations (Scopus)

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.

Original language	English
Title of host publication	Proceedings of the IEEE International Geoscience and Remote Sensing Symposium (IGARSS)
Place of Publication	Los Alamitos, United States of America
Publisher	Institute of Electrical and Electronics Engineers (IEEE)
Pages	4295-4298
ISBN (Print)	9781467311588, 9781467311595, 9781467311601
DOIs	https://doi.org/10.1109/IGARSS.2012.6351718
Publication status	Published - 2012
Event	IGARSS 2012: International Geoscience and Remote Sensing Symposium - Remote Sensing for a Dynamic Earth - Munich, Germany Duration: 22 Jul 2012 → 27 Jul 2012

Conference

Conference	IGARSS 2012: International Geoscience and Remote Sensing Symposium - Remote Sensing for a Dynamic Earth
City	Munich, Germany
Period	22/07/12 → 27/07/12

Keywords

Photogrammetry and Remote Sensing

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10.1109/IGARSS.2012.6351718

https://hdl.handle.net/1959.11/12294

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Ghamisi, P., Couceiro, M. S., Ferreira, N. M. F., & Kumar, L. (2012). Use of Darwinian Particle Swarm Optimization technique for the segmentation of Remote Sensing images. In Proceedings of the IEEE International Geoscience and Remote Sensing Symposium (IGARSS) (pp. 4295-4298). Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/IGARSS.2012.6351718

Ghamisi, Pedram ; Couceiro, Micael S ; Ferreira, Nuno M F et al. / Use of Darwinian Particle Swarm Optimization technique for the segmentation of Remote Sensing images. Proceedings of the IEEE International Geoscience and Remote Sensing Symposium (IGARSS). Los Alamitos, United States of America : Institute of Electrical and Electronics Engineers (IEEE), 2012. pp. 4295-4298

@inproceedings{005f1d7026094efe82fc2c74d8c2d84e,

title = "Use of Darwinian Particle Swarm Optimization technique for the segmentation of Remote Sensing images",

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.",

keywords = "Photogrammetry and Remote Sensing",

author = "Pedram Ghamisi and Couceiro, \{Micael S\} and Ferreira, \{Nuno M F\} and Lalit Kumar",

year = "2012",

doi = "10.1109/IGARSS.2012.6351718",

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isbn = "9781467311588",

pages = "4295--4298",

booktitle = "Proceedings of the IEEE International Geoscience and Remote Sensing Symposium (IGARSS)",

publisher = "Institute of Electrical and Electronics Engineers (IEEE)",

note = "IGARSS 2012: International Geoscience and Remote Sensing Symposium - Remote Sensing for a Dynamic Earth ; Conference date: 22-07-2012 Through 27-07-2012",

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Ghamisi, P, Couceiro, MS, Ferreira, NMF & Kumar, L 2012, Use of Darwinian Particle Swarm Optimization technique for the segmentation of Remote Sensing images. in Proceedings of the IEEE International Geoscience and Remote Sensing Symposium (IGARSS). Institute of Electrical and Electronics Engineers (IEEE), Los Alamitos, United States of America, pp. 4295-4298, IGARSS 2012: International Geoscience and Remote Sensing Symposium - Remote Sensing for a Dynamic Earth, Munich, Germany, 22/07/12. https://doi.org/10.1109/IGARSS.2012.6351718

Use of Darwinian Particle Swarm Optimization technique for the segmentation of Remote Sensing images. / Ghamisi, Pedram; Couceiro, Micael S; Ferreira, Nuno M F et al.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium (IGARSS). Los Alamitos, United States of America: Institute of Electrical and Electronics Engineers (IEEE), 2012. p. 4295-4298.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AB - 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.

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M3 - Conference contribution

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SN - 9781467311601

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BT - Proceedings of the IEEE International Geoscience and Remote Sensing Symposium (IGARSS)

PB - Institute of Electrical and Electronics Engineers (IEEE)

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Ghamisi P, Couceiro MS, Ferreira NMF, Kumar L. Use of Darwinian Particle Swarm Optimization technique for the segmentation of Remote Sensing images. In Proceedings of the IEEE International Geoscience and Remote Sensing Symposium (IGARSS). Los Alamitos, United States of America: Institute of Electrical and Electronics Engineers (IEEE). 2012. p. 4295-4298 doi: 10.1109/IGARSS.2012.6351718

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

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