Skip to content

Repository files navigation

LULCC-models

This is a first attempt to employ supervised classification algorithms to Land Use and Land Cover Classification of satellite images. We employed Support Vector Machines, Random Forest and Multi-layer Perceptron models in order to compare their performance when classifying several classes of land use and cover.

Authors: Naidelyn Espinoza, Eylin Sánchez and Jose Luis Cabrera

About

This is a first attempt to employ supervised classification algorithms to Land Use and Land Cover Classification of satellite images. Authors: Naidelyn Espinoza, Eylin Sánchez y Jose Luis Cabrera

Topics

Resources

Stars

Watchers

Forks

Releases

Packages

Contributors

Languages