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

Result = ENVITask('NormalizationStatistics')

Input properties (Set, Get): INPUT_RASTERS

Output properties (Get only): NORMALIZATION

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

Methods

This task inherits the following methods from ENVITask. See the ENVITask topic in ENVI Help.

  • AddParameter
  • Execute
  • Parameter
  • ParameterNames
  • RemoveParameters

Properties

This task inherits the following properties from ENVITask:

COMMUTE_ON_DOWNSAMPLE

COMMUTE_ON_SUBSET

DESCRIPTION

DISPLAY_NAME

NAME

REVISION

See the ENVITask topic in ENVI Help for details.

This task also contains the following properties:

INPUT_RASTERS (required)

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

NORMALIZATION

Minimum and maximum data values from an aggregate of rasters.

Version History

Deep Learning 2.0

Introduced

See Also