Comparing Machine Learning Algorithms in Land Use Land Cover Classification of Landsat 8 (OLI) Imagery
O. J. Aigbokhan, O. J. Pelemo, O. M. Ogoliegbune, N. E. Essien, A. A. Ekundayo & S. I. Adamu · Asian Research Journal of Mathematics · 2022
In recent times, there have been increased rates at which researchers are searching for advanced ways of carrying out land-use land-cover (LULC) mapping, especially in developing countries. Four machine-learning algorithms, namely Random Forest (RF), Support Vector Machine (SVM),...
Open access
Research Article
10.9734/arjom/2022/v18i330367