Optimal combination of classification algorithms and feature ranking methods for object-based classification of submeter resolution Z/I-Imaging DMC imagery
Object-based image analysis allows several different features to be calculated for the resulting objects. However, a large number of features means longer computing times and might even result in a loss of classification accuracy. In this study, we use four feature ranking methods (maximum correlati...
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| フォーマット: | article |
| 出版事項: |
2017
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| オンライン･アクセス: | http://dspace.utpl.edu.ec/handle/123456789/18995 |
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