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This option is mutually exclusive with neighborhood Size.
Superpixel clustering based on SNIC (Simple Non-Iterative Clustering).
Takes as input an elevation band, azimuth and zenith of the light source in degrees, a neighborhood size, and whether or not to apply hysteresis when a shadow appears.
If the test fails at any single location in the search region, the ouput pixel for which the correlation is being computed is considered invalid, and will be masked. If true, edges are curved to follow the shortest path on the surface of the Earth.
The output band is named [input]_lines, where [input] is the name of the original band. Iteratively applies k-means followed by a normality test to automatically determine the number of clusters to use. This has the effect of limiting the size of any cluster to be grid Size or smaller.
The defaults provided for the parameters are intended as a starting point for use with UINT8 images. The output contains a 'clusters' band containing the integer ID of the cluster that each pixel belongs to. This option is mutually exclusive with neighborhood Size. Outputs a 1-band image containing the ID of the cluster that each pixel belongs to.
Otherwise polygons use the left-inside rule, where interiors are on the left side of the shell's edges when walking the vertices in the given order.
Creates a shadow band, with output 1 where pixels are illumunated and 0 where they are shadowed.