Imagery classification¶

Description¶

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Parameters¶

Initial State [raster]

<put parameter description here>

Look-up Table [table]

Optional.

<put parameter description here>

Value [tablefield: any]

<put parameter description here>

Value (Maximum) [tablefield: any]

<put parameter description here>

Name [tablefield: any]

<put parameter description here>

Final State [raster]

<put parameter description here>

Look-up Table [table]

Optional.

<put parameter description here>

Value [tablefield: any]

<put parameter description here>

Value (Maximum) [tablefield: any]

<put parameter description here>

Name [tablefield: any]

<put parameter description here>

Report Unchanged Classes [boolean]

<put parameter description here>

Default: True

Output as... [selection]

<put parameter description here>

Options:

• 0 — [0] cells
• 1 — [1] percent
• 2 — [2] area

Default: 0

Outputs¶

Changes [raster]

<put output description here>

Changes [table]

<put output description here>

Console usage¶

processing.runalg('saga:changedetection', initial, ini_lut, ini_lut_min, ini_lut_max, ini_lut_nam, final, fin_lut, fin_lut_min, fin_lut_max, fin_lut_nam, nochange, output, change, changes)

See also¶

Description¶

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Parameters¶

Grids [multipleinput: rasters]

<put parameter description here>

Method [selection]

<put parameter description here>

Options:

• 0 — [0] Iterative Minimum Distance (Forgy 1965)
• 1 — [1] Hill-Climbing (Rubin 1967)
• 2 — [2] Combined Minimum Distance / Hillclimbing

Default: 0

Clusters [number]

<put parameter description here>

Default: 5

Normalise [boolean]

<put parameter description here>

Default: True

Old Version [boolean]

<put parameter description here>

Default: True

Outputs¶

Clusters [raster]

<put output description here>

Statistics [table]

<put output description here>

Console usage¶

processing.runalg('saga:clusteranalysisforgrids', grids, method, ncluster, normalise, oldversion, cluster, statistics)

See also¶

Description¶

<put algorithm 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¶