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 6 scripts 233 downloads 17 exports 93 dependencies

Last updated 6 months agofrom:0319af36d6. Checks:OK: 2. Indexed: no.

TargetResultDate
Doc / VignettesOKDec 02 2024
R-4.5-linux-x86_64OKDec 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