Koutparams

In data, there are three columns and each column corresponds to the color
intensity of one channel: red, green and blue correspondingly. The four
parameters: alpha, beta, gamma and delta, of the stable distribution is
estimated for each of these channels using the Koutrouvelis regressions-type
technique.

Implements two out-of box classifiers presented in <doi:10.1002/env.2848> for
distinguishing forest and non-forest terrain images. Under these algorithms, there are
frequentist approaches: one parametric, using stable distributions, and another one-
non-parametric, using the squared Mahalanobis distance. The package also contains functions for
data handling and building of new classifiers as well as some test data set.

Dmitry Otryakhin

deforestable

Classify RGB Images into Forest or Non-Forest

Jesper Muren

Koutparams function

<dl><dt>data</dt>
<dd>matrix or data frame with color intensities of red, green and
blue for an image.</dd></dl>

Arguments

Koutrouvelis parameter estimation of image data — Koutparams

<dl>

<dt>data</dt>
<dd>matrix or data frame with color intensities of red, green and
blue for an image.</dd>

</dl>

Koutparams: Koutrouvelis parameter estimation of image data

Description

Usage

Value

Arguments

Examples