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bayesEO (version 0.2.2)

Bayesian Smoothing of Remote Sensing Image Classification

Description

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.

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Install

install.packages('bayesEO')

Monthly Downloads

220

Version

0.2.2

License

GPL-3

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Maintainer

Gilberto Camara

Last Published

September 24th, 2025

Functions in bayesEO (0.2.2)

.smooth_gauss_kernel

Compute the 2-D Gaussian kernel
gaussian_smooth

Smooth probability images with Gaussian filter
bayes_label

Label probability images to create categorical maps
bayes_plot_rgb

Plot RGB data cubes
bayes_read_image

Read probability maps
bayes_colors_show

Function to show colors in SITS
bayes_read_probs

Read probability maps
bayes_plot_map

Plot labelled map
bayes_plot_var

Plot variance maps
bayes_plot_hist

Plot histogram
bayes_plot_probs

Plot probability maps
bayes_colors

Function to retrieve bayesEO color table
bayes_smooth

Smooth probability images
bayes_summary

Summary of categorical maps
bayes_variance

Calculate the variance of a probability cube
bayes_run_examples

Informs if examples should run
bilateral_smooth

Smooth probability images with Gaussian filter
bayes_run_tests

Informs if tests should run