Performance Evaluation of Three Image Classification Methods (Random Forest, Support Vector Machine and the Maximum Likelihood) in Land Use Mapping

Performance Evaluation of Three Image Classification Methods (Random Forest, Support Vector Machine and the Maximum Likelihood) in Land Use Mapping

Land use/cover maps are the basic inputs for most of the environmental simulation models; hence, the accuracy of the maps derived from the classification of the satellite images reduces the uncertainty in modeling. The aim of this study was to assess the accuracy of the maps produced by machine lear...

Full description

Bibliographic Details
Main Authors: F. Jahanbakhshi, M. R. Ekhtesasi
Format: Article
Language:fas
Published: Isfahan University of Technology 2019-03-01
Series:علوم آب و خاک
Subjects:
machine learning
non-parametric classifier
mcnemar test
random forest algorithm
Online Access:http://jstnar.iut.ac.ir/article-1-3610-en.html

Similar Items

Similar Items