SubsetLabelRaster Task

This task builds a new deep learning label raster using a subset of existing labels in another raster. This is useful for removing confusing classes or reusing already-labeled data for a new project.

This task is part of ENVI Deep Learning, which requires a separate license and installation.

Example

; 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)

; Get the task from the catalog of ENVITasks

Task = ENVITask('SubsetLabelRaster')

; Define inputs

Task.INPUT_RASTER = Raster

; Run the task

Task.Execute

; Add the output to the Data Manager

e.Data.Add, Task.OUTPUT_RASTER

; Display the result

View = e.GetView()

Layer = View.CreateLayer(Task.OUTPUT_RASTER)

Layer.QUICK_STRETCH = 'linear'

Syntax

Result = ENVITask('SubsetLabelRaster')

Input properties (Set, Get): INPUT_RASTER, OUTPUT_LABELS, 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. 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_RASTER (required)

Specify the input raster.

OUTPUT_LABELS (required)

Specify a subset of existing labels from the INPUT_RASTER that will be applied to the OUTPUT_RASTER.

OUTPUT_RASTER

This is a reference to the output raster of filetype ENVI and byte data type.

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

Deep Learning 2.2

Introduced