Comparison of supervised algorithms for built-up classification in Indonesia metropolitan

Built-up area are covering less than one percent but are estimated grow rapidly due to human population and economy activities. The built-up area information is crucial for measuring achievement of Sustainable Development Goals (SDGs) number 11 in.making sustainable cities. Supervised machine learni...

Ausführliche Beschreibung

Bibliographische Detailangaben

1. Verfasser:	Firmansyah, Achmad Fauzi Bagus
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Algorithms Area classification Landsat satellites Legal counsel Machine learning Metropolitan areas Satellite imagery Supervised learning Support vector machines Sustainable development
Online-Zugang:	Volltext
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