Citation
Tan, Chue Poh (2007) Hybrid Entropy Decomposition And Support Vector Machine Method For Image Classification For Crop Fields. Masters thesis, Multimedia University. Full text not available from this repository.
Official URL: http://myto.perpun.net.my/metoalogin/logina.php
Abstract
In this thesis, a Synthetic Aperture Radar (SAR) image classifier based on the "Entropy Decomposition and Support Vector Machine" (EDSVM) is developed for classification of crop fields. The key parameters extracted from Entropy Decomposition (ED) are applied to Support Vector Machine (SVM) classifier and it performs efficient image classifications.
Item Type: | Thesis (Masters) |
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Subjects: | T Technology > TK Electrical engineering. Electronics Nuclear engineering |
Divisions: | Faculty of Engineering (FOE) |
Depositing User: | Ms Rosnani Abd Wahab |
Date Deposited: | 23 Aug 2010 03:18 |
Last Modified: | 23 Aug 2010 03:18 |
URII: | http://shdl.mmu.edu.my/id/eprint/1149 |
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