2. DEFINITION
It’s a mathematical procedure that uses orthogonal
transformation to convert a set of observations of
possibly correlated variables into a set of values of
linearly uncorrelated variables called principal
components.
3. Run ERDAS .
Open a viewer 1.
Select “Interpreter” from toolbar.
From interpreter select “Spectral Enhancement".
Further select “Principal Component” and window
appears as shown.
4.
5.
Open the input file and specify the output
Number of components desired as 4
Mention the output file matrix.
Press ok and modeler runs as shown .
6.
While selecting each layers, open the output file, single
click, go to raster options, change “display as:’ gray scale and
layer as 1.
Similarly repeat the above procedure to view individual layers.