3.4.5.2. Clustering

This tab allows for the Clustering of a Band set. In particular, K-means method is available.

The spectral signatures are saved along with the classification, and can be saved in the Training input.

Tip

Information about APIs of this tool in Remotior Sensus at this link .

3.4.5.2.1. Clustering of band set 

Tool symbol and name	Description
Select input band set	select the input Band set
Method K-means	select the clustering method K-means
Distance threshold	if checked, K-means iteration is terminated if distance is lower than threshold
Number of classes	number of desired output classes
Max number of iterations	maximum number of iterations if Distance threshold is not reached
Use value as NoData	if checked, set the value of `NoData` pixels, ignored during the calculation

Tool symbol and name	Description
Seed signatures from band values Use Signature list as seed signatures Use random seed signatures	select one options for seed signatures that start the iteration; the option Seed signatures from band values divides the spectral space of the Band set to get spectral signatures; the option Use Signature list as seed signatures uses the spectral signatures checked in ROI & Signature list; the option Use random seed signatures randomly selects the spectral signatures of pixels in the Band set
Distance algorithm Minimum Distance Spectral Angle Mapping	select Minimum Distance or Spectral Angle Mapping for spectral distance calculation
Save resulting signatures to Signature list	if checked, save the resulting spectral signatures in the ROI & Signature list
Script	add this function to the Script
RUN	run this function