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pca

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Apply Principal Component Analysis on a cube

Description
Categories
Groups
History


Description

This programs converts a cube into principal component space or reverses a cube from principal component space. The principal component analysis (PCA) is performed over all bands of the input cube. The n x n transformation matrix used for this conversion is attached to the output cube as a table, where n is the number of bands of the input cube. Each vertical column in the transformation matrix is an eigenvector.

To run the program, you must provide an input cube, specify an output cube name, and select either Transform or Inverse as your transformation mode of choice

The transformation matrix can be extracted by using the following command:

tabledump from=[cube name].cub name="Transform Matrix"


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Related Objects and Documents

Applications


Parameter Groups

Files

Name Description
FROM Input file to transform
TO Output cube

Transform Options

Name Description
MODETransform mode

Files: FROM

Description

The input cube which will be transformed into principal component space.

Type cube
File Mode input
Filter *.cub

Files: TO

Description

The resultant cube containing the image in principal component space.

Type cube
File Mode output
Pixel Type real
Filter *.cub

Transform Options: MODE

Description

This option is used to specify a forward or inverse transform.

Type string
Default TRANSFORM
Option List:
Option Brief Description
TRANSFORMTransform to PC space This option is used to transform a cube into principal component space.
INVERSETransform from PC space This option is used to transform a cube back from principal component space.

History

Jacob Danton2006-05-05 Original version
Brendan George2006-09-28 Documentation fixes
Steven Lambright2008-05-13 Removed references to CubeInfo
Kristin Berry2014-09-18 Improved documentation