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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 |
Reference manual: | bayesEO.pdf |
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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