ClassificationSmoothing Task

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

4.2

See Also

ENVITask, ENVISubsetRaster, ISODATAClassification Task, ClassificationAggregation Task