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: |
2025-09-24 |
| 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 |