The ArcGIS Image Analyst extension provides tools with which to analyze imagery data.

The capabilities of Image Analyst are grouped into categories of related functionality. Knowing the categories will help you identify which particular tool to use. The table at the end of this section lists all the available toolsets with a description of the capabilities offered by the tools in each.

## Image Analyst toolsets

The functional categories of Image Analyst are identified below.

Toolset | Description |
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The Deep Learning toolset contains tools to detect specific features in an image or to classify pixels in a raster dataset. | |

Map Algebra is a way to perform spatial analysis by creating expressions in an algebraic language. With the Raster Calculator tool, you can easily 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: **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.
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The Motion Imagery toolset contains tools for managing, processing, and analyzing motion imagery, including full motion video data. | |

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

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

The statistical tools perform statistical operations on raster data. |