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
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'))

Peer review:

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

openblascppopenmp

1.00 score 276 downloads 17 exports 103 dependencies

Last updated 8 months agofrom:0319af36d6. Checks:1 OK, 1 NOTE. Indexed: no.

TargetResultLatest binary
Doc / VignettesOKJan 31 2025
R-4.5-linux-x86_64NOTEJan 31 2025

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:abindbase64encbslibcachemclassclassIntclicolorspacecols4allcpp11crosstalkdata.tableDBIdichromatdigestdplyre1071evaluatefansifarverfastmapfontawesomefsgenericsgeojsonsfgeometriesggplot2gluegtablehighrhtmltoolshtmlwidgetshttpuvisobandjquerylibjsonifyjsonliteKernSmoothknitrlabelinglaterlatticelazyevalleafemleafglleaflegendleafletleaflet.providersleafsynclifecycleloggerlwgeommagrittrMASSMatrixmemoisemgcvmimemunsellnlmepillarpkgconfigpngpromisesproxypurrrR6rapidjsonrrappdirsrasterRColorBrewerRcppRcppArmadillorlangrmarkdowns2sassscalesservrsfsfheadersspspacesXYZstarsstringdiststringistringrterratibbletidyrtidyselecttinytextmaptmaptoolsunitsutf8vctrsviridisLitewithrwkxfunXMLyaml