This task outputs global normalization statistics from an aggregate of rasters.
Example
e = ENVI()
RasterFile = Filepath('qb_boulder_msi', Subdir=['data'], $
Root_Dir=e.Root_Dir)
Raster = e.OpenRaster(RasterFile)
StatsTask = ENVITask('NormalizationStatistics')
StatsTask.INPUT_RASTERS = Raster
StatsTask.Execute
Print, "Normalization [Min, Max]:"
Print, StatsTask.Normalization
Syntax
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
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
NORMALIZATION
Minimum and maximum data values from an aggregate of rasters.
Methods
Execute
Parameter
ParameterNames
See ENVI Help for details on these ENVITask methods.
Properties
DESCRIPTION
DISPLAY_NAME
NAME
REVISION
See the ENVITask topic in ENVI Help for details.
Version History
Machine Learning 2.0
|
Introduced |
Machine Learning 3.0.1
|
Added REMOVE_OUTLIERS parameter
|