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Author/Chair
Pranto Kumar Sarker
Bangladesh University of Engineering and Technology
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A Reproducible Open-Source Machine Learning Framework for Sentinel‑2 Land Use and Land Cover Classification: Comparative Analysis of Random Forest and Support Vector Machine Methods
Sessions
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Poster
[ONLINE] IN51C-VR8981: A Reproducible Open-Source Machine Learning Framework for Sentinel‑2 Land Use and Land Cover Classification: Comparative Analysis of Random Forest and Support Vector Machine Methods
8:30am-12:00pm Dec 19 (Central)
Pranto Kumar Sarker
Links & Materials
A Reproducible Open-Source Machine Learning Framework for Sentinel‑2 Land Use and Land Cover Classification: Comparative Analysis of Random Forest and Support Vector Machine Methods
