35.1. Principal components

The analysis of principal components is a multispectral transformation that wants to avoid the use of redundant information in the image's bands. This technique allows to transform a series of bands into new variables called uncorrelated components, which absorb part of the variability of the data in a subset of the initial bands. The advantage of the use of this mechanism is that most of the information falls on the three first created bands, which allows to keep most of the information with a drastic reduction of space.

It is available from the raster toolbar (in Multispectral raster) and in the geoprocessing toolbox.

This tool has two dialogue boxes. The interface of the first dialogue box is the following one:

The result of the transformation generates a double type image with the same number of bands as the components choosen in the second dialog box.

35.2. Tasseled cap

The tasseled cap transformation is a more general transformation than the one of the principal components providing indexes with certain physical significance, so that it is possible to determine the brightness value, the greenness and the soil moisture. The tasseled cap transformation focuses on highlighting the relevant spectral features of the plant surfaces during their development, in order to discriminate specific crops, and crops with other plant surfaces using the spectral ranges of the multitemporal Landsat images.

It is available from the raster toolbar (in Multispectral raster) and in the geoprocessing toolbox.

The interface is the following one:

The result of the transformation generates a double type image with four bands for the MSS sensor, three bands for the TM sensor and six bands for the ETM sensor.