Principal component analysis

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(Using OTB standalone)
(Using OTB standalone)
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= Using OTB standalone =
 
= Using OTB standalone =
Type into the search box of the Windows taskbar: {{typed|text=Mapla}}. The Monteverdi Application Launcher opens
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* Type into the search box of the Windows taskbar: {{typed|text=Mapla}}. The Monteverdi Application Launcher opens.
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* In the search engine of the Processing Toolbox, type {{typed|text=Dimension}} and select '''Dimensionality Reduction'''.
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[[File:pca_otb.png|400px]][[File:pca_result.png|400px]]
 
[[File:pca_otb.png|400px]][[File:pca_result.png|400px]]
  
 
[[category:QGIS Tutorial]]
 
[[category:QGIS Tutorial]]

Revision as of 11:09, 19 November 2018

Using QGIS OTB plugin

Does currently not work in OTB plugin for QGIS 3.4.

  • In the search engine of the Processing Toolbox, type PCA and select DimensionalityReduction(pca) under Image Filtering of the Orfeo Toolbox.
  • Under the Parameter tab, select Multispectral band file as the input layer.
  • Select pca under the Algorithm tab.
  • Enter 4 as the number of components.
  • Specify the directory to save the output file.
  • Untick output file after running algorithm (inverse output image) option.
  • Click on Run to execute the algorithm.

Using OTB standalone

  • Type into the search box of the Windows taskbar: Mapla. The Monteverdi Application Launcher opens.
  • In the search engine of the Processing Toolbox, type Dimension and select Dimensionality Reduction.


Pca otb.pngPca result.png

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