Assessment of machine learning methods for urban types classification using integrated sar and optical images in nonthaburi, thailand

HIGHLIGHTS

• who: Niang Sian Lun et al. from the Nonthaburi, Thailand Department of Biological Systems Engineering, Washington State University, Pullman, WA, USA have published the research work: Assessment of Machine Learning Methods for Urban Types Classification Using Integrated SAR and Optical Images in Nonthaburi, Thailand, in the Journal: Sustainability 2023, 1051 of 13/Dec/2022
• what: The overall objective of this study is to classify the urban zone utilizing building height which is estimated using Sentinel-1 synthetic aperture radar (SAR) and various satellite-based indexes of Sentinel-2A. The aim of this research is to . . .
  

   

  

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