Bayesian Smoothing of Remote Sensing Image Classification [R package bayesEO version 0.2.2]

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: 0.2.2

Depends: R (≥ 4.1.0)

Imports: dplyr, ggplot2, grDevices, purrr, Rcpp, stars, stats, terra, tibble, tidyr, tmap, yaml

LinkingTo: Rcpp, RcppArmadillo

Suggests: RcppArmadillo, testthat

Published: 2025年09月24日

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.html , bayesEO.pdf

Downloads:

Package source: bayesEO_0.2.2.tar.gz

Windows binaries: r-devel: bayesEO_0.2.2.zip, r-release: bayesEO_0.2.2.zip, r-oldrel: bayesEO_0.2.2.zip

macOS binaries: r-release (arm64): bayesEO_0.2.2.tgz, r-oldrel (arm64): bayesEO_0.2.2.tgz, r-release (x86_64): bayesEO_0.2.2.tgz, r-oldrel (x86_64): bayesEO_0.2.2.tgz

Old sources: bayesEO archive

Linking:

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