Principal component analysis
From AWF-Wiki
(Difference between revisions)
(→Using OTB standalone) |
(→Using OTB standalone) |
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* Type into the search box of the Windows taskbar: {{typed|text=mapla.bat}}. Click on mapla.bat to open Monteverdi Application Launcher. | * Type into the search box of the Windows taskbar: {{typed|text=mapla.bat}}. Click on mapla.bat to open Monteverdi Application Launcher. | ||
* In the search engine of the Processing Toolbox, type {{typed|text=Dimension}} and double click '''Dimensionality Reduction'''. | * In the search engine of the Processing Toolbox, type {{typed|text=Dimension}} and double click '''Dimensionality Reduction'''. | ||
− | * | + | * Specify a multispectral image as Input Image. |
− | + | * Specify directory and name for the Output image. Select the output data type {{button|text=uint 8}} from the pull-down list. | |
+ | * Check the box '''Rescale Output'''. | ||
+ | * Select '''PCA''' from the drop-down list as Algorithm. | ||
+ | * Enter 4 as number of components. | ||
+ | * Check the button '''Normalize''' {{button|text=On}}. | ||
+ | * Click on {{button|text=Execute}}. | ||
[[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 11:28, 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.bat. Click on mapla.bat to open Monteverdi Application Launcher.
- In the search engine of the Processing Toolbox, type Dimension and double click Dimensionality Reduction.
- Specify a multispectral image as Input Image.
- Specify directory and name for the Output image. Select the output data type uint 8 from the pull-down list.
- Check the box Rescale Output.
- Select PCA from the drop-down list as Algorithm.
- Enter 4 as number of components.
- Check the button Normalize On.
- Click on Execute.