Comparison Of Google Earth Engine- Based Machine Learning Classifiers For Mapping Aquaculture Ponds In Sungai Udang, Penang
This study aims to evaluate the performance of different built-in machine learning classifiers such as Random Forest (RF), Support Vector Machine (SVM), and Classification and Regression Trees (CART) to map aquaculture ponds over Sungai Udang, Penang.
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| Main Author: | |
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| Format: | Thesis |
| Language: | English |
| Published: |
2023
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| Online Access: | http://eprints.usm.my/60173/1/Pages%20from%20ARVINTH%20AL%20RAJANDRAN%20-%20TESIS.pdf http://eprints.usm.my/60173/ |
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| Institution: | Universiti Sains Malaysia |
| Language: | English |
| Summary: | This study aims to evaluate the performance of different built-in machine learning classifiers such as Random Forest (RF), Support Vector Machine (SVM), and Classification and Regression Trees (CART) to map aquaculture ponds over Sungai Udang, Penang. |
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