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SOM Classification

Description

<put algortithm description here>

Parameters

InputImage [raster]
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ValidityMask [raster]

Optional.

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TrainingProbability [number]

<put parameter description here>

Default: 1

TrainingSetSize [number]

<put parameter description here>

Default: 0

StreamingLines [number]

<put parameter description here>

Default: 0

SizeX [number]

<put parameter description here>

Default: 32

SizeY [number]

<put parameter description here>

Default: 32

NeighborhoodX [number]

<put parameter description here>

Default: 10

NeighborhoodY [number]

<put parameter description here>

Default: 10

NumberIteration [number]

<put parameter description here>

Default: 5

BetaInit [number]

<put parameter description here>

Default: 1

BetaFinal [number]

<put parameter description here>

Default: 0.1

InitialValue [number]

<put parameter description here>

Default: 0

Available RAM (Mb) [number]

<put parameter description here>

Default: 128

set user defined seed [number]

<put parameter description here>

Default: 0

Outputs

OutputImage [raster]
<put output description here>
SOM Map [raster]
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Console usage

processing.runalg('otb:somclassification', -in, -vm, -tp, -ts, -sl, -sx, -sy, -nx, -ny, -ni, -bi, -bf, -iv, -ram, -rand, -out, -som)

See also