Classification from Vector

Creates a classification from a vector field with class ids.

Used in the Cookbook Recipes: Classification , Graphical Modeler

Parameters

Pixel Grid [raster]

Specify input raster.

Vector [vector]

Specify input vector.

Class id attribute [field]

Vector field specifying the class ids.

Minimal overall coverage [number]

Mask out all pixels that have an overall coverage less than the specified value. This controls how edges between labeled and no data regions are treated.

Minimal dominant coverage [number]

Mask out all pixels that have a coverage of the predominant class less than the specified value. This controls pixel purity.

Oversampling factor [number]

Defines the degree of detail by which the class information given by the vector is rasterized. An oversampling factor of 1 (default) simply rasterizes the vector on the target pixel grid.An oversampling factor of 2 will rasterize the vector on a target pixel grid with resolution twice as fine.An oversampling factor of 3 will rasterize the vector on a target pixel grid with resolution three times as fine, … and so on.

Mind that larger values are always better (more accurate), but depending on the inputs, this process can be quite computationally intensive, when a higher factor than 1 is used.

Default: 1

Outputs

Output Classification [rasterDestination]

Specify output path for classification raster.