Supervised classification

Description

<put algortithm description here>

Parameters

Grids [multipleinput: rasters]
<put parameter description here>
Training Areas [vector: polygon]
<put parameter description here>
Class Identifier [tablefield: any]
<put parameter description here>
Method [selection]

<put parameter description here>

Options:

  • 0 — [0] Binary Encoding
  • 1 — [1] Parallelepiped
  • 2 — [2] Minimum Distance
  • 3 — [3] Mahalanobis Distance
  • 4 — [4] Maximum Likelihood
  • 5 — [5] Spectral Angle Mapping
  • 6 — [6] Winner Takes All

Default: 0

Normalise [boolean]

<put parameter description here>

Default: True

Distance Threshold [number]

<put parameter description here>

Default: 0.0

Probability Threshold (Percent) [number]

<put parameter description here>

Default: 0.0

Probability Reference [selection]

<put parameter description here>

Options:

  • 0 — [0] absolute
  • 1 — [1] relative

Default: 0

Spectral Angle Threshold (Degree) [number]

<put parameter description here>

Default: 0.0

Outputs

Class Information [table]
<put output description here>
Classification [raster]
<put output description here>
Quality [raster]
<put output description here>

Console usage

processing.runalg('saga:supervisedclassification', grids, roi, roi_id, method, normalise, threshold_dist, threshold_prob, relative_prob, threshold_angle, class_info, classes, quality)

See also