A comparison of different machine learning algorithms in the classification of impervious surfaces: case study of the housing estate fort bema in warsaw (poland)

HIGHLIGHTS

  • who: Janusz Sobieraj and collaborators from the Department of Building Engineering, University of Technology, Poland have published the article: A Comparison of Different Machine Learning Algorithms in the Classification of Impervious Surfaces: Case Study of the Housing Estate Fort Bema in Warsaw (Poland), in the Journal: Buildings 2022, 2115 of 27/05/2017
  • what: The aim of this study is to extract impervious surfaces and show their spatial distribution using different machine learning algorithms. The study was prepared on the Geographic Information System platform (GIS) using aerial optical images orthorectified and thus provided with a . . .

     

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