Principal component analysis

Using QGIS OTB plugin

• In the search engine of the Processing Toolbox, type dimension and select DimensionalityReduction 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.
• Under Inverse Output Image [optional] untick Open output file after running algorithm (See Screenshot below).
• Click on Run to execute the algorithm.

Using OTB standalone

• Type into the search box of the Windows taskbar: mapla.bat or navigate to C:\opt\OTB-7.2.0-Win64\mapla.bat in your Windows explorer. Click on mapla.bat to open Monteverdi Application Launcher.
• In the search engine of Mapla, type Dimension under Image Filtering double click Dimensionality Reduction.
• Specify a multispectral image as Input Image.
• Specify directory and name for the Output image. Select the output data type float from the pull-down list.
• Select PCA from the drop-down list as Algorithm.
• Enter 4 as number of components.
• Click on Execute.