Package: bayesEO 0.2.1
Gilberto Camara
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.
Authors:
bayesEO_0.2.1.tar.gz
bayesEO_0.2.1.tar.gz(r-4.5-noble)bayesEO_0.2.1.tar.gz(r-4.4-noble)
bayesEO_0.2.1.tgz(r-4.4-emscripten)bayesEO_0.2.1.tgz(r-4.3-emscripten)
bayesEO.pdf |bayesEO.html✨
bayesEO/json (API)
| # Install 'bayesEO' in R: |
| install.packages('bayesEO', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/e-sensing/bayeseo/issues
Last updated 6 months agofrom:0319af36d6. Checks:OK: 2. Indexed: no.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 02 2024 |
| R-4.5-linux-x86_64 | OK | Nov 02 2024 |
Exports:bayes_colorsbayes_colors_showbayes_labelbayes_plot_histbayes_plot_mapbayes_plot_probsbayes_plot_rgbbayes_plot_varbayes_read_imagebayes_read_probsbayes_run_examplesbayes_run_testsbayes_smoothbayes_summarybayes_variancebilateral_smoothgaussian_smooth
Dependencies:abindbase64encbslibcachemclassclassIntclicolorspacecpp11crosstalkDBIdichromatdigestdplyre1071evaluatefansifarverfastmapfontawesomefsgenericsgeojsonsfgeometriesggplot2gluegtablehighrhtmltoolshtmlwidgetsisobandjquerylibjsonifyjsonliteKernSmoothknitrlabelinglatticelazyevalleafemleafletleaflet.providersleafsynclifecyclelwgeommagrittrMASSMatrixmemoisemgcvmimemunsellnlmepillarpkgconfigpngproxypurrrR6rapidjsonrrappdirsrasterRColorBrewerRcppRcppArmadillorlangrmarkdowns2sassscalessfsfheadersspstarsstringistringrterratibbletidyrtidyselecttinytextmaptmaptoolsunitsutf8vctrsviridisLitewidgetframewithrwkxfunXMLyaml
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Function to retrieve bayesEO color table | bayes_colors |
| Function to show colors in SITS | bayes_colors_show |
| Label probability images to create categorical maps | bayes_label |
| Plot histogram | bayes_plot_hist |
| Plot labelled map | bayes_plot_map |
| Plot probability maps | bayes_plot_probs |
| Plot RGB data cubes | bayes_plot_rgb |
| Plot variance maps | bayes_plot_var |
| Read probability maps | bayes_read_image |
| Read probability maps | bayes_read_probs |
| Informs if examples should run | bayes_run_examples |
| Informs if tests should run | bayes_run_tests |
| Smooth probability images | bayes_smooth |
| Summary of categorical maps | bayes_summary |
| Calculate the variance of a probability cube | bayes_variance |
| Smooth probability images with Gaussian filter | bilateral_smooth |
| Smooth probability images with Gaussian filter | gaussian_smooth |
