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Complete list of ArcGIS Image Analyst extension functions and tools

Available with Image Analyst license.

The ArcGIS Image Analyst extension provides a rich suite of raster functions and geoprocessing tools in ArcGIS Pro. These functions and tools are grouped into categories of related functionality in the following tables. Each function and tool is linked within the table to a detailed description.

Raster functions

A large number of raster functions is provided with the Image Analyst extension. These functions are grouped into categories of related functionality in the following tables.

Classification raster functions

The following functions are found in the Classification raster function category. Use the segmentation and classification functions to prepare segmented rasters or pixel-based raster datasets to use in creating classified raster datasets.

Function Description
Classify function

Applies the appropriate classifier and associated training data specified in the .ecd training file to a raster dataset or segmented raster.

Maximum Likelihood Classify

Performs a maximum likelihood classification on a raster dataset or mosaic dataset.

Segment Mean Shift function

Groups pixels that are adjacent and have similar spectral characteristics into segments. This can be used as a second raster in the Classify function.

Math

The following functions are found in the Math raster function category. The general math functions apply a mathematical function to the input raster(s). 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.

Function Description
Abs function

Calculates the absolute value of the pixels in a raster.

Arithmetic function

Uses the pixel values to calculate mathematical operations on overlapping rasters.

Band Arithmetic function

Calculates indexes using the predefined formulas or user-defined expressions.

Calculator function

Computes a raster from a mathematical expression based on the raster bands.

Divide function

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

Exp function

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

Exp10 function

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

Exp2 function

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

Float function

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

Int function

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

Ln function

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

Log10 function

Calculates the base 10 logarithm of each pixel in a raster.

Log2 function

Calculates the base 2 logarithm of each pixel in a raster.

Minus

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

Mod function

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

Negate function

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

Plus function

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

Power function

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

Round Down function

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

Round Up function

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

Square function

Calculates the square of the pixel values in a raster.

Square Root function

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

Times function

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

Math: Conditional

The following functions are found in the Math: Conditional raster function category. The conditional functions 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.

Function Description
Con function

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

Set Null function

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

Math: Logical

The following functions are found in the Math: Logical raster function category. The logical math functions evaluate the values of the inputs and determine the output values based on Boolean logic. These functions process raster datasets in five main areas: Bitwise, Boolean, Combinatorial, Logical, and Relational.

Function Description
Bitwise And function

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

Bitwise Left Shift function

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

Bitwise Not function

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

Bitwise Or function

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

Bitwise Right Shift function

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

Bitwise Xor function

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

Boolean And function

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

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

Boolean Not function

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

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

Boolean Or function

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

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

Boolean Xor function

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

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

Equal To function

Performs an equal-to operation on two rasters on a pixel-by-pixel basis.

Greater Than function

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

Returns a value of 1 for pixels where the first raster is greater than the second raster and a value of 0 for pixels where the first raster is not greater than the second raster.

Greater Than Equal function

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

Returns a value of 1 for pixels where the first raster is greater than or equal to the second raster and a value of 0 for pixels where the first raster is not greater than or equal to the second raster.

Is Null function

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

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

Less Than function

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

Returns a value of 1 for pixels where the first raster is less than the second raster and a value of 0 if it is not less than the second raster.

Less Than Equal function

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

Returns a value of 1 for pixels where the first raster is less than or equal to the second raster and a value of 0 where it is not less than or equal to the second raster.

Not Equal function

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

Returns a value of 1 for pixels where the first raster is not equal to the second raster and a value of 0 for pixels where it is equal to the second raster.

Math: Trigonometric

The following functions are found in the Math: Trigonometric raster function category. The trigonometric math functions perform various trigonometric calculations on the values in an input raster.

Function Description
ACos function

Calculates the inverse cosine of the pixels in a raster.

ACosH function

Calculates the inverse hyperbolic cosine of the pixels in a raster.

ASin function

Calculates the inverse sine of the pixels in a raster.

ASinH function

Calculates the inverse hyperbolic sine of the pixels in a raster.

ATan function

Calculates the inverse tangent of the pixels in a raster.

ATan2 function

Calculates the inverse tangent (based on x,y) of the pixels in a raster.

ATanH function

Calculates the inverse hyperbolic tangent of the pixels in a raster.

Cos function

Calculates the cosine of the pixels in a raster.

CosH function

Calculates the hyperbolic cosine of the pixels in a raster.

Sin function

Calculates the sine of the pixels in a raster.

SinH function

Calculates the hyperbolic sine of the pixels in a raster.

Tan function

Calculates the tangent of the pixels in a raster.

TanH function

Calculates the hyperbolic tangent of the pixels in a raster.

Statistical

The following functions are found in the Statistical raster function category. Use the statistical functions to perform statistical raster operations on a local, neighborhood, or zonal basis.

Function Description
ArgStatistics function

Orders raster bands into an array and identifies the band that has the minimum, maximum, median, or duration of pixel values.

Cell Statistics function

Calculates statistics from multiple rasters on a pixel-by-pixel basis. The available statistics are Majority, Maximum, Mean, Median, Minimum, Minority, Range, Standard Deviation, Sum, and Variety.

Statistics function

Defines a neighborhood and calculates the statistics within those pixels.

Zonal Statistic function

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

Overlay

The following functions are found in the Math: Overlay raster function category. The overlay functions perform various operations on multiple overlaid rasters.

FunctionDescription

Weighted Sum

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

Geoprocessing tools

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

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

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 .ecd file.

Compute Confusion Matrix

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

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.

Create Accuracy Assessment Points

Creates randomly sampled points for post-classification accuracy assessment.

Deep Learning Model To Ecd

Converts a deep learning model to an Esri Classifer Definition file.

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 already 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 together adjacent pixels that have similar spectral characteristics into segments.

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 Random Trees Classifier

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

Train Support Vector Machine Classifier

Generate 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 in order to be able to compare reference points to the classified image.

Tools of the Segmentation and Classification toolset

Math

More than 60 math tools are provided for performing mathematical operations on raster datasets. These math 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, but represented as a floating point value, for each pixel in a raster.

Round Up

Returns the next higher integer value, but represented as a floating point value, for each pixel 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 tools that perform conditional analysis 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

The value from a position raster is used to determine from which raster in a list of input rasters the output cell value will be obtained.

Set Null

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 tools are found in the logical math category.

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 pixel, if the value of the first input raster is found in the list of any other inputs, that value will be assigned to the output raster. If it is not found, the output pixel 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 if it is 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 of the Trigonometric Math toolset

Statistics

Use the statistical 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

Map Algebra

Map Algebra is a way to perform raster analysis by creating expressions in an algebraic language. Expressions are created with a tool is called the Raster Calculator , 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 in the Raster Calculator tool dialog box are:

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

Overlay

The overlay tools perform various operations on multiple overlaid rasters. The following table lists the available overlay math 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

Related topics