The raster dataset to segment. This can be a multispectral or grayscale image.
|Mosaic Layer; Raster Layer|
The level of importance given to the spectral differences of features in the imagery.
Valid values range from 1.0 to 20.0. A higher value is appropriate when there are features to classify separately that have similar spectral characteristics. Smaller values create spectrally smoother outputs. For example, with higher spectral detail in a forested scene, there will be greater discrimination between the tree species.
The level of importance given to the proximity between features in the imagery.
Valid values range from 1.0 to 20. A higher value is appropriate for a scene in which the features of interest are small and clustered together. Smaller values create spatially smoother outputs. For example, in an urban scene, impervious surfaces can be classified using a smaller spatial detail, or buildings and roads can be classified as separate classes using a higher spatial detail.
Minimum Segment Size In Pixels
The minimum size of a segment. Merge segments smaller than this size with their best fitting neighbor segment. This is related to the minimum mapping unit for your project.
Units are in pixels.
The bands that will be used to segment the imagery, separated by a space. If no band indexes are specified, they are determined by the following criteria:
The band order will not change the result.
Select bands that offer the most differentiation between the features of interest.
Maximum Segment Size In Pixels
The maximum size of a segment. Segments that are larger than the specified size will be divided. Use this parameter to prevent artifacts in the output raster resulting from large segments.
Units are in pixels.
The default value is -1, meaning there is no limit on the segment size.
|Label||Explanation||Data Type||Output Raster Dataset|
Specify a name and extension for the output dataset.
If the input was a multispectral image, the output will be an 8-bit RGB image. If the input was a grayscale image, the output will be an 8-bit grayscale image.