Package: bayesEO 0.2.2

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_0.2.2.tar.gz
bayesEO_0.2.2.zip(r-4.7)bayesEO_0.2.2.zip(r-4.6)bayesEO_0.2.2.zip(r-4.5)
bayesEO_0.2.2.tgz(r-4.6-x86_64)bayesEO_0.2.2.tgz(r-4.6-arm64)bayesEO_0.2.2.tgz(r-4.5-x86_64)bayesEO_0.2.2.tgz(r-4.5-arm64)
bayesEO_0.2.2.tar.gz(r-4.7-arm64)bayesEO_0.2.2.tar.gz(r-4.7-x86_64)bayesEO_0.2.2.tar.gz(r-4.6-arm64)bayesEO_0.2.2.tar.gz(r-4.6-x86_64)
bayesEO_0.2.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
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:

openblas cpp openmp

4.15 score 28 stars 6 scripts 214 downloads 17 exports 102 dependencies

Last updated from:6ce50f4989. Checks:13 OK. Indexed: yes.

Target	Result	Time
linux-devel-arm64	OK	171
linux-devel-x86_64	OK	165
source / vignettes	OK	245
linux-release-arm64	OK	214
linux-release-x86_64	OK	178
macos-release-arm64	OK	119
macos-release-x86_64	OK	234
macos-oldrel-arm64	OK	112
macos-oldrel-x86_64	OK	194
windows-devel	OK	216
windows-release	OK	137
windows-oldrel	OK	137
wasm-release	OK	168

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 cols4all cpp11 crosstalk curl data.table DBI digest dplyr e1071 evaluate farver fastmap fontawesome fs generics geojsonsf geometries ggplot2 glue gtable highr htmltools htmlwidgets httpuv isoband jquerylib jsonify jsonlite KernSmooth knitr labeling later lattice lazyeval leafem leafgl leaflegend leaflet leaflet.providers leafsync lifecycle logger lwgeom magrittr maptiles MASS memoise mime otel pillar pkgconfig png promises proxy purrr R6 rapidjsonr rappdirs raster RColorBrewer Rcpp RcppArmadillo rlang rmarkdown s2 S7 sass scales servr sf sfheaders sp spacesXYZ stars stringdist stringi stringr terra tibble tidyr tidyselect tinytex tmap tmaptools units utf8 vctrs viridisLite withr wk xfun XML yaml yyjsonr

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