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Supervised classification

Description

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Parameters

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

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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]

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Default: True

Distance Threshold [number]

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Default: 0.0

Probability Threshold (Percent) [number]

<put parameter description here>

Default: 0.0

Probability Reference [selection]

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Options:

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

Default: 0

Spectral Angle Threshold (Degree) [number]

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Default: 0.0

Outputs

Class Information [table]
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Classification [raster]
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Quality [raster]
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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