This repository contains the R codes of the Classification of Attribute profiles from the derived features for Urban cover classification. The attribute profiles are pre-computed using Matlab, if you need the code please write me: [email protected]
BB Damodaran et.al, "Attribute Profiles on Derived Features for Urban Land Cover Classification", Photogrammetric Engineering & Remote Sensing, Vol. 83, No. 3, March 2017
This repository contains R codes for several machine learning algorithms: SVM, PerTurbo, Naive Bayes, Multinomial logistic regression, Decision Trees, and Random Forest. It also includes functions to read and write the remote sensing images in the Envi format (Binary Files), and to perform statistical significance test
For running the codes, please see: "Mainfile.R", and if you want run the codes in cluster, please see: "MainFile_DTRFNBMLRCluster.R"
If you have trouble in understanding or running the code, please feel free to contact me