Published 2020
“…Consequently, this study utilized a medium resolution remote sensing image, Sentinel-2 with 10-meter spatial resolution to classified the building in Selangor, Malaysia. In
order to obtain a good classification accuracy, the suitable segmentation parameters (scale, shape and
compactness) and features selection have been determined and Machine
learning (ML)
algorithms, namely Support Vector Machine (SVM) and Decision Tree (DT) classifiers have been applied to categorized five different classes which are water, forest, green area, building, and road. …”
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Thesis