Fit SpectralAngleMapper

Spectral Angle Mapper (SAM). Samples are first normalizes to the unit sphere and then classified using nearest neighbour. See Docs Center > Using ENVI > Spectral Angle Mapper for a more details description.

Parameters

Classifier [string]

Scikit-learn python code. See Normalizer, KNeighborsClassifier for information on different parameters.

Default:

from sklearn.pipeline import make_pipeline
from sklearn.preprocessing import Normalizer
from sklearn.neighbors import KNeighborsClassifier

classifier = make_pipeline(Normalizer(), KNeighborsClassifier(n_neighbors=1))

Training dataset [file]

Training dataset pickle file used for fitting the classifier. If not specified, an unfitted classifier is created.

Outputs

Output classifier [fileDestination]

Pickle file destination.

Command-line usage

>qgis_process help enmapbox:FitSpectralanglemapper:

----------------
Arguments
----------------

classifier: Classifier
    Default value:  from sklearn.pipeline import make_pipeline
from sklearn.preprocessing import Normalizer
from sklearn.neighbors import KNeighborsClassifier

classifier = make_pipeline(Normalizer(), KNeighborsClassifier(n_neighbors=1))
    Argument type:  string
    Acceptable values:
            - String value
dataset: Training dataset (optional)
    Argument type:  file
    Acceptable values:
            - Path to a file
outputClassifier: Output classifier
    Argument type:  fileDestination
    Acceptable values:
            - Path for new file

----------------
Outputs
----------------

outputClassifier: <outputFile>
    Output classifier