Applying Radom Forest and Support Vector Machine for Land-use Classification in Phu Giao District Vietnam
Machine learning algorithms are currently widely used to classify satellite images to create surface maps of the earth. Support vector machines (SVMs) and random forests (RFs) are more effective ML algorithms and more accurate classifications than other methods. The aim of this study is to analyze...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Environmental Research Institute, Chulalongkorn University
2025-05-01
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| Series: | Applied Environmental Research |
| Subjects: | |
| Online Access: | https://ph01.tci-thaijo.org/index.php/aer/article/view/260247 |
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