Machine learning-based classification of asbestos-containing roofs using airborne rgb and thermal imagery

HIGHLIGHTS

• who: Gordana Kaplan and colleagues from the Institute Earth and Space Sciences, Eskisehir Technical University, Eskisehir, Turkey have published the paper: Machine Learning-Based Classification of Asbestos-Containing Roofs Using Airborne RGB and Thermal Imagery, in the Journal: Sustainability 2023, 6067 of 31/03/2023
• what: With the rapid development ML reflected in this study the authors evaluate three classifiers: Random Forest (RF) Support Vector Machine (SVM) and eXtreme Gradient Boosting (XGBoost). The results from this study show that SVM performed most effectively for both datasets with an overall 3 of 16 accuracy (OA) of . . .
  

   

  

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