Comparing Four Machine Learning Algorithms for Land Cover Classification in Gold Mining: A Case Study of Kyaukpahto Gold Mine, Northern Myanmar

Numerous studies have been undertaken to determine the optimal land use/cover classification algorithm. However, there have not been many studies that have compared and evaluated the performance of maximum likelihood (ML), random forest (RF), support vector machine (SVM), and classification and regr...

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Bibliographic Details
Main Author: Oo T.K.
Other Authors: Mahidol University
Format: Article
Published: 2023
Subjects:
Online Access:https://repository.li.mahidol.ac.th/handle/123456789/84260
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Institution: Mahidol University