This task outputs global normalization statistics from an aggregate of rasters.

Example

---

; Start the application

e = ENVI()

; Open an input raster file

RasterFile = Filepath('qb_boulder_msi', Subdir=['data'], $

Root_Dir=e.Root_Dir)

Raster = e.OpenRaster(RasterFile)

; Get the statistics task from the catalog of ENVITasks

StatsTask = ENVITask('NormalizationStatistics')

; Define inputs

StatsTask.INPUT_RASTERS = Raster

; Run the task

StatsTask.Execute

; Display min and max values

Print, "Normalization [Min, Max]:"

Print, StatsTask.Normalization

Syntax

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Result = ENVITask('NormalizationStatistics')

Input parameters (Set, Get): INPUT_RASTERS, REMOVE_OUTLIERS

Output parameters (Get only): NORMALIZATION

Parameters marked as "Set" are those that you can set to specific values. You can also retrieve their current values any time. Parameters marked as "Get" are those whose values you can retrieve but not set.

Input Parameters

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INPUT_RASTERS (required)

Specify one or more rasters to determine the minimum and maximum data values.

REMOVE_OUTLIERS (optional)

The default of true removes outliers using histogram stretching to increase the minimum and decrease the maximum data values. If set to false, use the true minimum and maximum data ranges to normalize the data.

Output Parameters

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NORMALIZATION

Minimum and maximum data values from an aggregate of rasters.

Methods

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Execute

Parameter

ParameterNames

See ENVI Help for details on these ENVITask methods.

Properties

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DESCRIPTION

DISPLAY_NAME

NAME

REVISION

See the ENVITask topic in ENVI Help for details.

Version History

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Machine Learning 2.0	Introduced
Machine Learning 3.0.1	Added REMOVE_OUTLIERS parameter