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:Gilberto Camara [aut, cre], Renato Assuncao [aut], Rolf Simoes [aut], Felipe Souza [aut]

bayesEO_0.2.1.tar.gz
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bayesEO_0.2.1.tgz(r-4.4-x86_64)bayesEO_0.2.1.tgz(r-4.4-arm64)bayesEO_0.2.1.tgz(r-4.3-x86_64)bayesEO_0.2.1.tgz(r-4.3-arm64)
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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://e-sensing.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/e-sensing/bayeseo/issues

Uses libs:

openblas– Optimized BLAS
c++– GNU Standard C++ Library v3
openmp– GCC OpenMP (GOMP) support library

On CRAN:

3.60 score 4 stars 7 scripts 186 downloads 17 exports 93 dependencies

Last updated 5 months agofrom:7bc2471a84. Checks:OK: 9. Indexed: yes.

Target	Result	Date
Doc / Vignettes	OK	Nov 01 2024
R-4.5-win-x86_64	OK	Nov 01 2024
R-4.5-linux-x86_64	OK	Nov 01 2024
R-4.4-win-x86_64	OK	Nov 01 2024
R-4.4-mac-x86_64	OK	Nov 01 2024
R-4.4-mac-aarch64	OK	Nov 01 2024
R-4.3-win-x86_64	OK	Nov 01 2024
R-4.3-mac-x86_64	OK	Nov 01 2024
R-4.3-mac-aarch64	OK	Nov 01 2024

Exports:bayes_colors bayes_colors_show bayes_label bayes_plot_hist bayes_plot_map bayes_plot_probs bayes_plot_rgb bayes_plot_var bayes_read_image bayes_read_probs bayes_run_examples bayes_run_tests bayes_smooth bayes_summary bayes_variance bilateral_smooth gaussian_smooth

Dependencies:abind base64enc bslib cachem class classInt cli colorspace cpp11 crosstalk DBI dichromat digest dplyr e1071 evaluate fansi farver fastmap fontawesome fs generics geojsonsf geometries ggplot2 glue gtable highr htmltools htmlwidgets isoband jquerylib jsonify jsonlite KernSmooth knitr labeling lattice lazyeval leafem leaflet leaflet.providers leafsync lifecycle lwgeom magrittr MASS Matrix memoise mgcv mime munsell nlme pillar pkgconfig png proxy purrr R6 rapidjsonr rappdirs raster RColorBrewer Rcpp RcppArmadillo rlang rmarkdown s2 sass scales sf sfheaders sp stars stringi stringr terra tibble tidyr tidyselect tinytex tmap tmaptools units utf8 vctrs viridisLite widgetframe withr wk xfun XML yaml

Citation

Development and contributors

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