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.
Example
e = ENVI()
File = Filepath('qb_boulder_msi', Subdir=['data'], $
Root_Dir=e.Root_Dir)
Raster = e.OpenRaster(File)
Task = ENVITask('SubsetLabelRaster')
Task.INPUT_RASTER = Raster
Task.Execute
e.Data.Add, Task.OUTPUT_RASTER
View = e.GetView()
Layer = View.CreateLayer(Task.OUTPUT_RASTER)
Layer.QUICK_STRETCH = 'linear'
Syntax
Result = ENVITask('SubsetLabelRaster')
Input parameters (Set, Get): INPUT_RASTER, OUTPUT_LABELS, OUTPUT_RASTER_URI
Output parameters (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.
Input Parameters
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_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.
Output Parameters
OUTPUT_RASTER
This is a reference to the output raster of filetype ENVI and byte data type.
Methods
Execute
Parameter
ParameterNames
See ENVI Help for details on these ENVITask methods.
Properties
DESCRIPTION
DISPLAY_NAME
NAME
REVISION
TAGS
See the ENVITask topic in ENVI Help for details.
Version History
|
Deep Learning 2.2
|
Introduced |
See Also
ENVIDeepLearningRaster