pca

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"

Description

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

Type	cube
File Mode	input
Filter	*.cub

Description

The resultant cube containing the image in principal component space.

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

Description

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

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