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ENVIClassificationSmoothingTask

ENVIClassificationSmoothingTask

This task removes speckling noise from a classification image. It uses majority analysis to change spurious pixels within a large single class to that class.

Example


The following example performs an unsupervised classification, followed by a smoothing operation.

; Start the application
e = ENVI()
 
; Open an input file
File = Filepath('qb_boulder_msi', Subdir=['data'], $
  Root_Dir=e.Root_Dir)
Raster = e.OpenRaster(File)
 
; Create a classification ENVIRaster
ClassTask = ENVITask('ISODATAClassification')
ClassTask.INPUT_RASTER = Raster
ClassTask.Execute
 
; Get the collection of data objects currently available in the Data Manager
DataColl = e.Data
 
; Add the class image to the Data Manager
DataColl.Add, ClassTask.OUTPUT_RASTER
 
; Display the result
View = e.GetView()
Layer = View.CreateLayer(ClassTask.OUTPUT_RASTER)
 
; Run the smoothing task
SmoothTask = ENVITask('ClassificationSmoothing')
SmoothTask.INPUT_RASTER = ClassTask.OUTPUT_RASTER
SmoothTask.Execute
 
; Add the output to the Data Manager
DataColl.Add, SmoothTask.OUTPUT_RASTER
 
; Display the result
Layer2 = View.CreateLayer(SmoothTask.OUTPUT_RASTER)
 
; Flicker between the original classification and the classification after
; aggregation
Portal = View.CreatePortal()
Portal.Animate, 2.0, /FLICKER

Syntax


Result = ENVITask('ClassificationSmoothing')

Input properties (Get, Set): INPUT_RASTER, KERNEL_SIZE, OUTPUT_RASTER_URI

Output properties (Get only): OUTPUT_RASTER

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:

AddParameter

Execute

Parameter

ParameterNames

RemoveParameter

Properties


This task inherits the following properties from ENVITask:

COMMUTE_ON_DOWNSAMPLE

COMMUTE_ON_SUBSET

DESCRIPTION

DISPLAY_NAME

NAME

REVISION

TAGS

This task also contains the following properties:

INPUT_RASTER (required)

Specify a classification raster on which to perform aggregation.

KERNEL_SIZE (optional)

Specify an odd number with the smoothing kernel size. The minimum value is 3 pixels, and the default value is 3 pixels.

OUTPUT_RASTER

This is a reference to the output raster of filetype ENVI.

OUTPUT_RASTER_URI (optional)

Specify a string with the fully qualified filename and path of the associated OUTPUT_RASTER. If you do not specify this property, or set it to an exclamation symbol (!), a temporary file will be created.

Version History


ENVI 5.2

Introduced

API Version


3.3

See Also


ENVITask, ENVITask::Parameter, ENVISubsetRaster, ENVIISODATAClassificationTask, ENVIClassificationAggregationTask



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