Integration of Segmentation Techniques for Classification of Hyperspectral Images
| dc.contributor | Háskóli Íslands | en_US |
| dc.contributor | University of Iceland | en_US |
| dc.contributor.author | Benediktsson, Jon Atli | |
| dc.contributor.author | Ghamisi, Pedram | |
| dc.contributor.author | Couceiro, Micael S. | |
| dc.contributor.author | Fauvel, Mathieu | |
| dc.contributor.department | Rafmagns- og tölvuverkfræðideild (HÍ) | en_US |
| dc.contributor.department | Faculty of Electrical and Computer Engineering (UI) | en_US |
| dc.contributor.school | Verkfræði- og náttúruvísindasvið (HÍ) | en_US |
| dc.contributor.school | School of Engineering and Natural Sciences (UI) | en_US |
| dc.date.accessioned | 2016-09-30T15:45:31Z | |
| dc.date.available | 2016-09-30T15:45:31Z | |
| dc.date.issued | 2014 | |
| dc.description.abstract | A new spectral-spatial method for classification of hyperspectral images is introduced. The proposed approach is based on two segmentation methods, fractional-order Darwinian particle swarm optimization and mean shift segmentation. The output of these two methods is classified by support vector machines. Experimental results indicate that the integration of the two segmentation methods can overcome the drawbacks of each other and increase the overall accuracy in classification. | en_US |
| dc.description.version | Ritrýnt tímarit | en_US |
| dc.format.extent | 342-346 | en_US |
| dc.identifier.citation | P. Ghamisi, M. S. Couceiro, M. Fauvel and J. A. Benediktsson. (2014). Integration of Segmentation Techniques for Classification of Hyperspectral Images. IEEE Geoscience and Remote Sensing Letters, 11(1), 342-346 | en_US |
| dc.identifier.doi | 10.1109/LGRS.2013.2257675 | |
| dc.identifier.issn | 1545-598X | |
| dc.identifier.issn | ||
| dc.identifier.journal | IEEE Geoscience and Remote Sensing Letters | en_US |
| dc.identifier.uri | https://hdl.handle.net/20.500.11815/138 | |
| dc.language.iso | en | en_US |
| dc.publisher | IEEE | en_US |
| dc.relation.ispartofseries | IEEE Geoscience and Remote Sensing Letters; 11(1) | |
| dc.relation.ispartofseries | ||
| dc.rights | info:eu-repo/semantics/openAccess | en_US |
| dc.subject | Support vector machines | |
| dc.subject | Geophysical image processing | |
| dc.subject | Hyperspectral imaging | |
| dc.subject | Image classification | |
| dc.title | Integration of Segmentation Techniques for Classification of Hyperspectral Images | en_US |
| dcterms.license | (c) 2014 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works | en_US |
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