tabularMLC: Tabular Maximum Likelihood Classifier

The maximum likelihood classifier (MLC) is one of the most common classifiers used for remote sensing imagery. This package uses 'RcppArmadillo' to provide a fast implementation of the MLC to train and predict over tabular data (data.frame). The algorithms were based on Mather (1985) <doi:10.1080/01431168508948456> method.

Package details

AuthorCaio Hamamura [aut, cre] (<>)
MaintainerCaio Hamamura <>
Package repositoryView on CRAN
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tabularMLC documentation built on Oct. 5, 2021, 9:07 a.m.