Principal component analysis
From AWF-Wiki
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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 | + | * Type into the search box of the Windows taskbar: {{typed|text=Mapla}}. The Monteverdi Application Launcher opens. |
| + | * In the search engine of the Processing Toolbox, type {{typed|text=Dimension}} and select '''Dimensionality Reduction'''. | ||
| + | |||
[[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.
