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Complete list of ArcGIS Image Analyst extension geoprocessing tools

The ArcGIS Image Analyst extension provides a rich suite of geoprocessing tools in ArcGIS Pro.

Geoprocessing tools

A large number of geoprocessing tools are provided with the Image Analyst extension. These tools are grouped into categories of related functionality in the following table and associated toolsets.

Deep Learning

Deep Learning tools detect features in imagery by using multiple layers of artificial neural networks where each layer is capable of extracting one or more unique features in the image. The following table lists the available Deep Learning tools and provides a brief description of each.

ToolDescription

Classify Pixels Using Deep Learning

Runs a trained deep learning model on an input raster to produce a classified raster, with each valid pixel having a class label assigned.

Detect Objects Using Deep Learning

Runs a trained deep learning model on an input raster to produce a feature class containing the objects it finds. The features can be bounding boxes or polygons around the objects found, or points at the centers of the objects.

Non Maximum Suppression

Identifies duplicate features from the output of the Detect Objects Using Deep Learning tool as a postprocessing step and creates a new output with duplicates removed.

Tools in the Deep Learning toolset

Map Algebra

Map algebra is a way to perform raster analysis by creating expressions in an algebraic language. Expressions are created with the Raster Calculator tool, which enables you to build expressions that output a raster dataset. The Raster Calculator builds and executes a single map algebra expression using Python syntax.

The operators on the Raster Calculator tool dialog box are as follows:

For more details about the Raster Calculator, refer to An overview of the Map Algebra toolset

Math

More than 60 Math tools are provided for performing mathematical operations on raster datasets. These tools are grouped into functional areas:

  • General
  • Conditional
  • Logical
    • Bitwise
    • Boolean
    • Combinatorial
    • Logical
    • Relational
  • Trigonometric

Math (general)

The general Math tools apply a mathematical operation to the input. These tools fall into several categories. The arithmetic tools perform basic mathematical operations, such as addition and multiplication. There are tools that perform various types of exponentiation operations, which includes exponentials and logarithms in addition to the basic power operations. The remaining tools are used either for sign conversion or for conversion between integer and floating point data types. The following table lists the available general Math tools and provides a brief description of each.

ToolDescription

Abs

Calculates the absolute value of the cells in a raster.

Divide

Divides the values of two rasters on a cell-by-cell basis.

Exp

Calculates the base e exponential of the cells in a raster.

Exp10

Calculates the base 10 exponential of the cells in a raster.

Exp2

Calculates the base 2 exponential of the cells in a raster.

Float

Converts each cell value of a raster into a floating-point representation.

Int

Converts each cell value of a raster to an integer by truncation.

Ln

Calculates the natural logarithm (base e) of cells in a raster.

Log10

Calculates the base 10 logarithm of cells in a raster.

Log2

Calculates the base 2 logarithm of cells in a raster.

Minus

Subtracts the value of the second input raster from the value of the first input raster on a cell-by-cell basis.

Mod

Finds the remainder (modulo) of the first raster when divided by the second raster on a cell-by-cell basis.

Negate

Changes the sign (multiplies by -1) of the cell values of the input raster on a cell-by-cell basis.

Plus

Adds (sums) the values of two rasters on a cell-by-cell basis.

Power

Raises the cell values in a raster to the power of the values found in another raster.

Round Down

Returns the next lower integer value, just represented as a floating point, for each cell in a raster.

Round Up

Returns the next higher integer value, just represented as a floating point, for each cell in a raster.

Square

Calculates the square of the cell values in a raster.

Square Root

Calculates the square root of the cell values in a raster.

Times

Multiplies the values of two rasters on a cell-by-cell basis.

Tools in the general Math toolset

Math (Conditional)

The Conditional Math tools allow you to control the output values based on the conditions placed on the input values. The conditions that can be applied are of two types: either queries on the attributes or a condition based on the position of the conditional statement in a list. The following table lists the available Conditional Math tools and provides a brief description of each.

ToolDescription

Con

Performs a conditional if/else evaluation on each of the input cells of an input raster.

Pick

Uses the value from a position raster to determine from which raster in a list of input raster the output cell value will be obtained.

Set Null

Sets identified cell locations to NoData based on a specified criteria. It returns NoData if a conditional evaluation is true, and returns the value specified by another raster if it is false.

Tools in the Conditional Math toolset

Math (Logical)

The Logical Math tools evaluate the values of the inputs and determine the output values based on Boolean logic. These tools process raster datasets in five main categories: Bitwise, Boolean, Combinatorial, Logical, and Relational. The following tables list the available Logical Math tools and provide a brief description of each.

ToolDescription

Bitwise And

Performs a Bitwise And operation on the binary values of two input rasters.

Bitwise Left Shift

Performs a Bitwise Left Shift operation on the binary values of two input rasters.

Bitwise Not

Performs a Bitwise Not (complement) operation on the binary value of an input raster.

Bitwise Or

Performs a Bitwise Or operation on the binary values of two input rasters.

Bitwise Right Shift

Performs a Bitwise Right Shift operation on the binary values of two input rasters.

Bitwise XOr

Performs a Bitwise eXclusive Or operation on the binary values of two input rasters.

Bitwise Math tools

ToolDescription

Boolean And

Performs a Boolean And operation on the cell values of two input rasters.

If both input values are true (non-zero), the output value is 1. If one or both inputs are false (zero), the output is 0.

Boolean Not

Performs a Boolean Not (complement) operation on the cell values of the input raster.

If the input values are true (non-zero), the output value is 0. If the input values are false (zero), the output is 1.

Boolean Or

Performs a Boolean Or operation on the cell values of two input rasters.

If one or both input values are true (non-zero), the output value is 1. If both input values are false (zero), the output is 0.

Boolean XOr

Performs a Boolean eXclusive Or operation on the cell values of two input rasters.

If one input value is true (non-zero) and the other false (zero), the output is 1. If both input values are true or both are false, the output is 0.

Boolean Math tools

ToolDescription

Combinatorial And

Performs a Combinatorial And operation on the cell values of two input rasters.

If both input values are true (non-zero), the output is a different value for each unique combination of input values. If one or both inputs are false (zero), the output value is 0.

Combinatorial Or

Performs a Combinatorial Or operation on the cell values of two input rasters.

If either input value is true (non-zero), the output is a different value for each unique combination of input values. If both inputs are false (zero), the output value is 0.

Combinatorial XOr

Performs a Combinatorial eXclusive Or operation on the cell values of two input rasters.

If one input value is true (non-zero) and the other false (zero), the output is a different value for each unique combination of input values. If both inputs are true or both are false, the output value is 0.

Combinatorial Math tools

ToolDescription

Equal To

Performs a Relational equal-to operation on two inputs on a cell-by-cell basis.

Returns 1 for cells where the first raster equals the second raster and 0 for cells where it does not.

Greater Than

Performs a Relational greater-than operation on two inputs on a cell-by-cell basis.

Returns 1 for cells where the first raster is greater than the second raster and 0 for cells if it is not.

Greater Than Equal

Performs a Relational greater-than-or-equal-to operation on two inputs on a cell-by-cell basis.

Returns 1 for cells where the first raster is greater than or equal to the second raster and 0 if it is not.

Less Than

Performs a Relational less-than operation on two inputs on a cell-by-cell basis.

Returns 1 for cells where the first raster is less than the second raster and 0 if it is not.

Less Than Equal

Performs a Relational less-than-or-equal-to operation on two inputs on a cell-by-cell basis.

Returns 1 for cells where the first raster is less than or equal to the second raster and 0 where it is not.

Not Equal

Performs a Relational not-equal-to operation on two inputs on a cell-by-cell basis.

Returns 1 for cells where the first raster is not equal to the second raster and 0 for cells where it is equal.

Relational Math tools

ToolDescription

Diff

Determines which values from the first input are logically different from the values of the second input on a cell-by-cell basis.

If the values on the two inputs are different, the value on the first input is output. If the values on the two inputs are the same, the output is 0.

InList

Determines which values from the first input are contained in a set of other inputs, on a cell-by-cell basis.

For each cell, if the value of the first input raster is found in any of the list of other inputs, that value will be assigned to the output raster. If it is not found, the output cell will be NoData.

Is Null

Determines which values from the input raster are NoData on a cell-by-cell basis.

Returns a value of 1 if the input value is NoData and 0 for cells that are not.

Over

For the cell values in the first input that are not 0, the output value will be that of the first input. Where the cell values are 0, the output will be that of the second input raster.

Test

Performs a Boolean evaluation of the input raster using a logical expression.

When the expression evaluates to true, the output cell value is 1. If the expression is false, the output cell value is 0.

Logical Math tools

Math (Trigonometric)

The Trigonometric Math tools perform various trigonometric calculations on the values in an input raster. The following table lists the available Trigonometric Math tools and provides a brief description of each.

ToolDescription

ACos

Calculates the inverse cosine of cells in a raster.

ACosH

Calculates the inverse hyperbolic cosine of cells in a raster.

ASin

Calculates the inverse sine of cells in a raster.

ASinH

Calculates the inverse hyperbolic sine of cells in a raster.

ATan

Calculates the inverse tangent of cells in a raster.

ATan2

Calculates the inverse hyperbolic tangent of cells in a raster.

ATanH

Calculates the inverse hyperbolic tangent of cells in a raster.

Cos

Calculates the cosine of cells in a raster.

CosH

Calculates the hyperbolic cosine of cells in a raster.

Sin

Calculates the sine of cells in a raster.

SinH

Calculates the hyperbolic sine of cells in a raster.

Tan

Calculates the tangent of cells in a raster.

TanH

Calculates the hyperbolic tangent of cells in a raster.

Tools in the Trigonometric Math toolset

Motion Imagery

The Motion Imagery toolset contains tools for managing, processing, and analyzing motion imagery, including full motion video data. The following table lists the available Motion Imagery tools and provides a brief description of each.

ToolDescription

Extract Frames To Images

Extracts video frame images and associated metadata from a FMV-compliant video stream and saves the data to a directory.

Video Metadata To Feature Class

Extracts the platform, frame center, frame outline, and attributes metadata from a FMV-compliant video and saves the feature data to a directory.

Video Multiplexer

Creates a video file that combines an archived video stream file and an associated metadata file synchronized by a time stamp.

Tools in the Motion Imagery toolset

Multidimensional Analysis

The tools in the Multidimensional Analysis toolset allow you to perform analysis on scientific data across multiple variables and dimensions. The following table lists the available Multidimensional Analysis tools and a brief description of each.

ToolDescription

Aggregate Multidimensional Anomaly

Generates a CRF multidimensional raster dataset by aggregating existing multidimensional dataset variables along a dimension.

Generate Multidimensional Anomaly

Computes the anomaly for each slice in a multidimensional raster to generate a multidimensional dataset.

Tools in the Statistics toolset

Overlay

The tool in the Overlay toolset performs various operations on multiple overlaid rasters. The following table lists the available Overlay tools and provides a brief description of each.

ToolDescription

Weighted Sum

Overlays several rasters, multiplying each by their given weight and summing them together.

Tools in the Overlay toolset

Segmentation and Classification

The Segmentation and Classification tools perform classic statistical and advanced machine learning image classification algorithms on segmented and pixel-based raster datasets. Additional tools are provided to perform training set and classification accuracy and refinement of class maps. The following table lists the available Segmentation and Classification tools and provides a brief description of each.

ToolDescription

Classify Raster

Classifies 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 must match the inputs used to generate the required .ecd file.

Compute Confusion Matrix

Computes a confusion matrix with errors of omission and commission and derives a kappa index of agreement and an overall accuracy between the classified map and the reference data.

Compute Segment Attributes

Computes a set of attributes associated with the segmented image. The input raster can be a single-band or 3-band, 8-bit segmented image.

Create Accuracy Assessment Points

Creates randomly sampled points for post-classification accuracy assessment.

Export Training Data

Uses a remote sensing image to convert labeled vector or raster data into deep learning training datasets. The output is a folder of image chips and a folder of metadata files in the specified format.

Generate Training Samples From Seed Points

Generates training samples from seed points, such as accuracy assessment points or training sample points. A typical use case is generating training samples from an existing source, such as a thematic raster or a feature class.

Inspect Training Samples

Estimates the accuracy of individual training samples. The cross validation accuracy is computed using the previously generated classification training result in an .ecd file and the training samples. Outputs include a raster dataset containing the misclassified class values and a training sample dataset with the accuracy score for each training sample.

Remove Raster Segment Tiling Artifacts

Some regional processes, such as image segmentation, will have inconsistencies near image tile boundaries. This tool corrects segments or objects cut by tile boundaries during the segmentation process performed as a raster function.

This processing step is included in the Segment Mean Shift tool; therefore, it should only be used on a segmented image that was not created from that tool.

Segment Mean Shift

Groups into segments adjacent pixels that have similar spectral characteristics.

Train Iso Cluster Classifier

Generates an Esri classifier definition (.ecd) file using the Iso Cluster classification definition.

Train Maximum Likelihood Classifier

Generates an Esri classifier definition (.ecd) file using the Maximum Likelihood Classifier (MLC) classification definition.

Train Random Trees Classifier

Generates an Esri classifier definition (.ecd) file using the Random Trees classification method.

Train Support Vector Machine Classifier

Generates an Esri classifier definition (.ecd) file using the Support Vector Machine (SVM) classification definition.

Update Accuracy Assessment Points

Updates the Target field in the attribute table to compare reference points to the classified image.

Tools of the Segmentation and Classification toolset

Statistics

Use the Statistics tools to perform statistical raster operations on a local, neighborhood, or zonal basis. The following table lists the tools that perform statistical analysis and provides a brief description of each.

ToolDescription

Cell Statistics

Calculates a per-cell statistic from multiple rasters.

The available statistics are Majority, Maximum, Mean, Median, Minimum, Minority, Range, Standard deviation, Sum, and Variety.

Focal Statistics

Calculates for each input cell location a statistic of the values within a specified neighborhood around it.

Zonal Statistics

Calculates statistics on values of a raster within the zones of another dataset.

Tools in the Statistics toolset

Related topics


In this topic
  1. Geoprocessing tools