Ngo, L.T. and Mai, D.S. and Nguyen, M.U. (2012) GPU-based acceleration of interval type-2 fuzzy c-means clustering for satellite imagery land-cover classification. In: 2012 12th International Conference on Intelligent Systems Design and Applications, ISDA 2012, 27 November 2012 through 29 November 2012, Kochi.
GPU-based acceleration of interval type-2 fuzzy c-means clustering for satellite imagery land-cover classification.pdf
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Abstract
When processing with large data such as satellite images, the computing speed is the problem need to be resolved. This paper introduces a method to improve the computational efficiency of the interval type-2 fuzzy c-means clustering(IT2-FCM) based on GPU platform and applied to land-cover classification from multi-spectral satellite image. GPU-based calculations are high performance solution and free up the CPU. The experimental results show that the performance of the GPU is many times faster than CPU. © 2012 IEEE.
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Divisions: | Institutes > Institute of Techniques for Special Engineering Faculties > Faculty of Information Technology |
| Identification Number: | 10.1109/ISDA.2012.6416674 |
| Uncontrolled Keywords: | Computing speed; Gpu-based; Graphics Processing Unit; High performance computing; Interval type-2 fuzzy; Land-cover classification; Large data; Multispectral satellite image; Satellite images; Type-2 fuzzy set; Computer graphics; Data handling; Fuzzy sets; Fuzzy systems; Intelligent systems; Program processors; Systems analysis; Satellite imagery |
| Additional Information: | Conference code: 95653. Language of original document: English. |
| URI: | http://eprints.lqdtu.edu.vn/id/eprint/10093 |
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