Ngo, L.T. and Nguyen, D.D. (2012) Land cover classification using interval type-2 fuzzy clustering for multi-spectral satellite imagery. In: 2012 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2012, 14 October 2012 through 17 October 2012, Seoul.
Land cover classification using interval type-2 fuzzy clustering for multi-spectral satellite imagery.pdf
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Abstract
Land cover classification have been developed for specially surveillance of change of land and generating update information. The paper introduces an approach to classification of land cover from multi-spectral satellite imagery using interval type-2 c-means clustering. Two channels (Near Infrared - NIR and Visible Red - NR) are used to generate NDVI image of study area. Then IT2-FCM is used to classify NDVI into six sub-classes presenting for six types of land cover. The method is implemented for two study areas in comparing with ISODATA algorithm and FCM. © 2012 IEEE.
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Divisions: | Faculties > Faculty of Information Technology |
| Identification Number: | 10.1109/ICSMC.2012.6378097 |
| Uncontrolled Keywords: | C-Means clustering; Fuzzy C means clustering; ISODATA algorithm; Land cover; Land cover classification; Multi-spectral; Near Infrared; Study areas; Two channel; Type-2 fuzzy set; Cybernetics; Fuzzy sets; Infrared devices; Satellite imagery |
| Additional Information: | Conference code: 94804. Language of original document: English. |
| URI: | http://eprints.lqdtu.edu.vn/id/eprint/10110 |
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