Principal component analysis
From AWF-Wiki
(Difference between revisions)
(→Using OTB standalone) |
(→Using OTB standalone) |
||
| Line 13: | Line 13: | ||
* 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 a multispectral image as Input Image. | ||
| − | * Specify directory and name for the Output image. Select the output data type {{button|text= | + | * Specify directory and name for the Output image. Select the output data type {{button|text=float}} from the pull-down list. |
| − | + | ||
* Select '''PCA''' from the drop-down list as Algorithm. | * Select '''PCA''' from the drop-down list as Algorithm. | ||
* Enter 4 as number of components. | * Enter 4 as number of components. | ||
| − | |||
* Click on {{button|text=Execute}}. | * Click on {{button|text=Execute}}. | ||
Revision as of 11:40, 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 float from the pull-down list.
- Select PCA from the drop-down list as Algorithm.
- Enter 4 as number of components.
- Click on Execute.
