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A comparison of support vector machine and decision tree classifications using satellite data of Langkawi Island

This study investigates a new approach in image classification. Two classifiers were used to classify SPOT 5 satellite image; Decision Tree (DT) and Support Vector Machine (SVM). The Decision Tree rules were developed manually based on Normalized Difference Vegetation Index (NDVI) and Brightness Val...

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書誌詳細
主要な著者:	Mohd Shafri, Helmi Zulhaidi, Ramle, F. S. H.
フォーマット:	論文
言語:	English
出版事項:	Asian Network for Scientific Information 2009
オンライン･アクセス:	http://psasir.upm.edu.my/id/eprint/18007/1/A%20comparison%20of%20support%20vector%20machine%20and%20decision%20tree%20classifications%20using%20satellite%20data%20of%20Langkawi%20Island.pdf http://psasir.upm.edu.my/id/eprint/18007/ http://scialert.net/abstract/?doi=itj.2009.64.70
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