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Use of Darwinian Particle Swarm Optimization technique for the segmentation of Remote Sensing images |
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Institute of Electrical and Electronics Engineers (IEEE) |
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Los Alamitos, United States of America |
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| DOI |
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10.1109/IGARSS.2012.6351718 |
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| Abstract |
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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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Proceedings of the IEEE International Geoscience and Remote Sensing Symposium (IGARSS), p. 4295-4298 |
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