The Principal component analysis operation results in a linear transformation of a set of (satellite) raster maps. The map values are transformed into raster map values, called components.
The following steps apply:
With two input raster maps the principal components analysis coefficients matrix looks like:
where:
a1 and a2 |
= |
coefficients of the first component |
|
b1 and b2 |
= |
coefficients of the second component. |
With M bands an MxM matrix of principal component analysis coefficients is calculated.
The expression in the map list reads:
MapListMatrixMultiply(InputMapList, PrincipalComponentsMatrix, nr of output maps)
where:
x and y |
= |
spectral values in the first and second component |
|
X and Y |
= |
spectral values in the two input raster maps |
|
a1 and a2 |
= |
coefficients of the first component |
|
b1 and b2 |
= |
coefficients of the second component. |
References:
See also: