.smooth_gauss_kernel

internal

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.

Gilberto Camara

bayesEO

Bayesian Smoothing of Remote Sensing Image Classification

Renato Assuncao

Rolf Simoes

Felipe Souza

.smooth_gauss_kernel function

<dl><dt>window_size</dt>
<dd>Size of the neighbourhood.</dd>
<dt>sigma</dt>
<dd>Standard deviation of the spatial Gaussian kernel</dd></dl>

Arguments

Compute the 2-D Gaussian kernel — .smooth_gauss_kernel

<dl>

<dt>window_size</dt>
<dd>Size of the neighbourhood.</dd>


<dt>sigma</dt>
<dd>Standard deviation of the spatial Gaussian kernel</dd>

</dl>

Compute the 2-D Gaussian kernel

.smooth_gauss_kernel: Compute the 2-D Gaussian kernel

Description

Usage

Value

Arguments