Image Layer Weights
Image layers can be weighted depending on their importance or suitability for the seg-
mentation result. The higher the weight assigned to an image layer, the more weight
will be assigned to that layer’s pixel information during the segmentation process, if it is
used. Consequently, image layers that do not contain the information intended for repre-
sentation by the image objects should be given little or no weight. For example, when
segmenting a geographical LANDSAT scene using multiresolution segmentation or spec-
tral difference segmentation, the segmentation weight for the spatially coarser thermal
layer should be set to 0 in order to avoid deterioration of the segmentation result by the
blurred transient between image objects of this layer.
• In the Algorithm parameters area, expand the Image Layer weights list and set the
weight of the image layers to be considered by the algorithm. Select an image layer
and edit the respective weight value.
• Alternatively you can insert the weights in the value field of the parameter Image
layer weights, separated by a comma, e.g.: 0,0,1
• You can also use a variable as a layer weight.