Supervised classification¶

Описание¶

<put algortithm description here>

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]

<put parameter description here>

Default: 0.0

Probability Threshold (Percent) [number]

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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¶