An overview of the Segmentation and Classification toolset

Available with Spatial Analyst license.

With the Segmentation and Classification tools, you can prepare segmented rasters to use in creating classified raster datasets.

The following table lists the available segmentation and classification tools and provides a brief description of each.

Tool	Description
Classify Raster	Classify a raster dataset based on an Esri Classifier Definition (.ecd) file and raster dataset inputs. The .ecd file contains all the information needed to perform a specific type of Esri-supported classification. The inputs to this tool need to match the inputs used to generate the required .ecdfile.
Compute Segment Attributes	Compute a set of attributes associated with your segmented image. The input raster can be a single-band or 3-band, 8-bit segmented image.
Segment Mean Shift	Identify features or segments in your imagery by grouping adjacent pixels together that have similar spectral characteristics. You may control the amount of spatial and spectral smoothing to help derive features of interest.
Train Iso Cluster Classifier	Generate an Esri classifier definition (.ecd) file using the Iso Cluster classification definition.
Train Maximum Likelihood Classifier	Generate an Esri classifier definition (.ecd) file using the Maximum Likelihood Classifier (MLC) classification definition.
Train Support Vector Machine Classifier	Generate an Esri classifier definition (.ecd) file using the Support Vector Machine (SVM) classification definition.

Tools of the Segmentation and Classification toolset Feedback on this topic?