# An overview of the Image Analyst toolbox

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.

ToolsetDescription

Change Detection

The Change Detection toolset contains tools that perform change detection between raster datasets.

Classification and Pattern Recognition

The classification and pattern recognition tools perform regression analysis and prepare segmented rasters for use in creating classified raster datasets.

Deep Learning

The Deep Learning toolset contains tools that detect specific features in an image and classify pixels in a raster dataset.

Extraction

The Extraction toolset allows you to extract a subset of pixels from a raster by the pixels' attributes or their spatial location.

Interpolation

The Interpolation toolset contains tools to interpolate different types of data.

Map Algebra

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.

Math

The Math toolset contains tools that perform mathematical operations on rasters.

The tools are grouped into four main categories:

• Math

The tools at the top level of the math toolset perform basic mathematical operations on rasters in the following categories: Arithmetic, Power, Exponential, and Logarithmic. Also included are tools that alter the sign of the raster values, as well as those involved in converting the values between integer and floating point.

• Conditional

The Conditional math toolset allows you to control the output values based on the conditions placed on the input values.

• Logical

The Logical math toolset contains tools for performing logical evaluations on rasters in the following categories: Bitwise, Boolean, Combinatorial, Relational, and Conditional.

• Trigonometric

The Trigonometric math toolset contains tools for trigonometric calculations in several categories: Regular, Inverse, Hyperbolic, and Inverse Hyperbolic.

Motion Imagery

The Motion Imagery toolset contains tools for managing, processing, and analyzing motion imagery, including full motion video data.

Multidimensional Analysis

The Multidimensional Analysis toolset contains tools for performing analysis on scientific data across multiple variables and dimensions.

Overlay

With the Overlay analysis toolset you can weight and overlay several rasters to create a single summary raster result.

Statistical

The statistical tools perform statistical operations on raster data.