Gaussian filter

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<math>G_{2D}(x,y,\sigma)=\frac{1}{\sqrt{2 \pi \sigma^2}}e^{-\frac{x^2+y^2}{2\sigma^2}}</math> where <math>\sigma</math> determines the ''width'' of the kernel.
 
<math>G_{2D}(x,y,\sigma)=\frac{1}{\sqrt{2 \pi \sigma^2}}e^{-\frac{x^2+y^2}{2\sigma^2}}</math> where <math>\sigma</math> determines the ''width'' of the kernel.
 
== Gaussian filter using OTB ==
 
== Gaussian filter using OTB ==
 +
Does currently not work in OTB plugin for QGIS 3.4. Use OTB standalone.
 
* In the search engine of the Processing Toolbox, type '''Smoothing''' and select '''Smoothing (gaussian)''' under Image Filtering of the Orfeo Toolbox.
 
* In the search engine of the Processing Toolbox, type '''Smoothing''' and select '''Smoothing (gaussian)''' under Image Filtering of the Orfeo Toolbox.
 
* Under the Parameters tab, select a '''single band or a multiband file''' as input layer.
 
* Under the Parameters tab, select a '''single band or a multiband file''' as input layer.
 
* Select '''gaussian''' from the drop-down list as Smoothing Type.
 
* Select '''gaussian''' from the drop-down list as Smoothing Type.
 
* Adjust the '''Radius''' of a circular element in pixel size.
 
* Adjust the '''Radius''' of a circular element in pixel size.
[[File:Qgis_smooth_gauss.png|400px]]
+
 
 
== Gaussian filter using SAGA ==
 
== Gaussian filter using SAGA ==
 
* In the search engine of the Processing Toolbox, type '''Gaussian''' and select '''Gaussian filter''' under Raster Filter of SAGA.
 
* In the search engine of the Processing Toolbox, type '''Gaussian''' and select '''Gaussian filter''' under Raster Filter of SAGA.
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* Choose '''1''' as Standard deviation
 
* Choose '''1''' as Standard deviation
 
* Use the '''3''' pixels as Radius.
 
* Use the '''3''' pixels as Radius.
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[[File:Qgis_saga_gaussian.png|400px]]
 
{| class="wikitable"
 
{| class="wikitable"
 
|style="border: 0pt" | [[file:Qgis_campus_pansharp.png|thumb|left|400px|'''Figure A:''' Input image: Sentinel-2 composite (RGB=B7,B6,B5), University Göttingen Campus North]]
 
|style="border: 0pt" | [[file:Qgis_campus_pansharp.png|thumb|left|400px|'''Figure A:''' Input image: Sentinel-2 composite (RGB=B7,B6,B5), University Göttingen Campus North]]

Revision as of 17:12, 18 November 2018

The Gaussian smoothing filter is used for noise reduction and removing details. The filter is similar to the arithmetic mean filter but it uses a different kernel that represents the shape of a 2 dimensional Gaussian distribution which is defined as \(G_{2D}(x,y,\sigma)=\frac{1}{\sqrt{2 \pi \sigma^2}}e^{-\frac{x^2+y^2}{2\sigma^2}}\) where \(\sigma\) determines the width of the kernel.

Gaussian filter using OTB

Does currently not work in OTB plugin for QGIS 3.4. Use OTB standalone.

  • In the search engine of the Processing Toolbox, type Smoothing and select Smoothing (gaussian) under Image Filtering of the Orfeo Toolbox.
  • Under the Parameters tab, select a single band or a multiband file as input layer.
  • Select gaussian from the drop-down list as Smoothing Type.
  • Adjust the Radius of a circular element in pixel size.

Gaussian filter using SAGA

  • In the search engine of the Processing Toolbox, type Gaussian and select Gaussian filter under Raster Filter of SAGA.
  • Under the Parameters tab, select a single band file as Grid.
  • Select Circle from the drop-down list as Search Mode.
  • Choose 1 as Standard deviation
  • Use the 3 pixels as Radius.

Qgis saga gaussian.png

Figure A: Input image: Sentinel-2 composite (RGB=B7,B6,B5), University Göttingen Campus North
Figure B: Output image: Gaussian filtered Sentinel-2 composite (RGB=B7,B6,B5), University Göttingen Campus North
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