Principal component analysis
From AWF-Wiki
(Difference between revisions)
| Line 4: | Line 4: | ||
* Enter 4 as the number of components. | * Enter 4 as the number of components. | ||
* Specify the directory to save the output file. | * Specify the directory to save the output file. | ||
| − | * | + | * Untick output file after running algorithm (inverse output image) option. |
* Click on {{button|text=Run}} to execute the algorithm. | * Click on {{button|text=Run}} to execute the algorithm. | ||
| + | [[File:pca_otb.png|400px]] | ||
[[category:QGIS Tutorial]] | [[category:QGIS Tutorial]] | ||
Revision as of 19:49, 16 November 2017
- 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.
