An overview of the Image Analysis geoprocessing functions

Disponible con licencia de Image Analyst.

The ArcPy Image Analysis module provides a set of image analysis and modeling geoprocessing functions for both raster (cell-based) and feature (vector) data.

The capabilities of the ArcPy Image Analysis module are grouped into categories of related functionality. Knowing the categories will help you identify which geoprocessing function to use. The table at the end of this section lists all the available analytical categories with a description of the capabilities offered by the geoprocessing functions in each.

For most geoprocessing functions that generate a raster output, the output is a temporary raster object on disk. To make it permanent, you can call the raster object's save method. Based on the workspace and the extension specified, the output format will vary; see Output raster formats and names for more information.

The geoprocessing functions in the ArcPy Image Analysis module require the ArcGIS Image Analyst extension.

Image Analysis geoprocessing functions

The functional categories of the ArcPy Image Analysis module are described below.

Geoprocessing functional categoryDescription

Change Detection

The Change Detection geoprocessing function category contains a function for extracting change information from multiple rasters over time. Additional capabilities for detecting change across a time series of images are available in the Multidimensional Analysis geoprocessing functions.

Deep learning

The Deep Learning geoprocessing functions allow you to train a deep learning model, detect specific features in an image, classify pixels in a raster dataset.


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

Map Algebra

Map Algebra is a way to perform spatial analysis by creating expressions in an algebraic language. With the Raster Calculator geoprocessing function, you can create and run Map Algebra expressions that output a raster dataset.

Math (general)

Las funciones de geoprocesamiento de matemática general aplican una función matemática a la entrada. Estas funciones de geoprocesamiento se dividen en varias categorías. Las funciones de geoprocesamiento realizan operaciones matemáticas básicas, como adición y multiplicación. Existen funciones de geoprocesamiento que realizan varios tipos de operaciones de potenciación, incluidas las operaciones exponenciales y logarítmicas además de las operaciones de potencia básicas. Las funciones de geoprocesamiento restantes se utilizan para la conversión de signos o para la conversión entre tipos de datos enteros y de punto flotante.

Math: Conditional

Las funciones de geoprocesamiento condicional permiten controlar los valores de salida según las condiciones establecidas en los valores de entrada. Las condiciones que pueden aplicarse son de dos tipos, ya sean consultas sobre los atributos o una condición basada en la posición de la declaración condicional en una lista.

Math: Logical

Las funciones de geoprocesamiento de matemática lógica evalúan los valores de las entradas y determinan los valores de salida según la lógica booleana. Las funciones de geoprocesamiento se agrupan en cuatro categorías principales: Booleana, Combinatoria, Lógica y Relacional.

Math: Trigonometric

Las funciones de geoprocesamiento de matemática trigonométrica realizan varios cálculos trigonométricos en los valores en un ráster de entrada.

Motion Imagery

The Motion Imagery geoprocessing functions can be used for managing, processing, and analyzing motion imagery, including full-motion video data.

Multidimensional Analysis

The Multidimensional Analysis geoprocessing functions allow you to perform various multidimensional analyses on scientific raster data across multiple variables and dimensions.


The Overlay geoprocessing functions can be used to weight and overlay several rasters to create a single summary raster.

Segmentation and Classification

The geoprocessing functions in the Segmentation and Classification category can be used to perform classification workflows, including accuracy assessment. Capabilities include multispectral image segmentation, training sample generation and evaluation, pixel and object-oriented machine learning classification, and quantitative accuracy assessment of results.


The Statistical geoprocessing functions perform statistical operations on raster data.

Image Analysis geoprocessing functional categories