The ArcGIS Image Analyst extension provides tools with which to analyze imagery data.
The capabilities of Image Analyst are grouped into categories (toolsets) of related functionality. Knowing the functionality of each toolset will help you identify the tool to use. The table below lists the Image Analyst toolsets with a description of the capabilities offered by the tools in each.
The Change Detection toolset contains tools that perform change detection between raster datasets.
The classification and pattern recognition tools perform regression analysis and prepare segmented rasters for use in creating classified raster datasets.
The Deep Learning toolset contains tools that detect specific features in an image and classify pixels in a raster dataset.
The Extraction toolset allows you to extract a subset of pixels from a raster by the pixels' attributes or their spatial location.
The Interpolation toolset contains tools to interpolate different types of data.
Map algebra is a way to perform spatial analysis by creating expressions in an algebraic language. With the Raster Calculator tool, you can create and run map algebra expressions that output a raster dataset.
The Math toolset contains tools that perform mathematical operations on rasters.
The tools are grouped into four main categories:
The Motion Imagery toolset contains tools for managing, processing, and analyzing motion imagery, including full motion video data.
The Multidimensional Analysis toolset contains tools for performing analysis on scientific data across multiple variables and dimensions.
With the Overlay analysis toolset you can weight and overlay several rasters to create a single summary raster result.
The statistical tools perform statistical operations on raster data.
The Synthetic Aperture Radar toolset contains tools that correct, process, and enable analysis of SAR data.
The Utilities toolset contains tools for preprocessing and postprocessing imagery and derived products.