bayesEO: Bayesian Smoothing of Remote Sensing Image Classification

A Bayesian smoothing method for post-processing of remote sensing image classification which refines the labelling in a classified image in order to enhance its classification accuracy. Combines pixel-based classification methods with a spatial post-processing method to remove outliers and misclassified pixels.

Version: 0.2.1
Depends: R (≥ 4.0.0)
Imports: dplyr, ggplot2, grDevices, purrr, Rcpp, stars, stats, terra, tibble, tidyr, tmap, yaml
LinkingTo: Rcpp, RcppArmadillo
Suggests: RcppArmadillo, testthat
Published: 2024-06-04
DOI: 10.32614/CRAN.package.bayesEO
Author: Gilberto Camara [aut, cre], Renato Assuncao [aut], Rolf Simoes [aut], Felipe Souza [aut]
Maintainer: Gilberto Camara <gilberto.camara.inpe at gmail.com>
BugReports: https://github.com/e-sensing/bayesEO/issues
License: GPL-3
URL: https://github.com/e-sensing/bayesEO/
NeedsCompilation: yes
Language: en-US
CRAN checks: bayesEO results

Documentation:

Reference manual: bayesEO.pdf

Downloads:

Package source: bayesEO_0.2.1.tar.gz
Windows binaries: r-devel: bayesEO_0.2.1.zip, r-release: bayesEO_0.2.1.zip, r-oldrel: bayesEO_0.2.1.zip
macOS binaries: r-release (arm64): bayesEO_0.2.1.tgz, r-oldrel (arm64): bayesEO_0.2.1.tgz, r-release (x86_64): bayesEO_0.2.1.tgz, r-oldrel (x86_64): bayesEO_0.2.1.tgz

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