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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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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.