This task applies threshold and infeasibility values and performs classification on mixture tuned rule raster.

Example


This example uses the default parameter settings:

; Start the application
e = ENVI()
 
; Open an input file
File = Filepath('AVIRISReflectanceSubset.dat', $
  SUBDIR=['data', 'hyperspectral'], $
  ROOT_DIR=e.Root_Dir)
Raster = e.OpenRaster(file)
 
; First run a Forward MNF on the data
task = ENVITask('ForwardMNFTransform')
Task.Input_Raster = Raster
Task.Execute
 
; Use the first 25 MNF bands to run a mixtured tuned matched filter
subset = ENVISubsetRaster(Task.Output_Raster, BANDS=Lindgen(25))
 
; Define three ROIs, each containing 9 pixels of a common material.
nSpectra = 9d
roi1 = EnviRoi(NAME='Green Field')
pixelAddr1 = [[77,182],[78,182],[79,182], $
  [77,183],[78,183],[79,183], $
  [77,184],[78,184],[79,184]]
roi1.AddPixels, pixelAddr1, SPATIALREF=Subset.SpatialRef
roi2 = EnviRoi(NAME='Soil')
pixelAddr2 = [[386,285],[387,285],[388,285], $
  [386,286],[387,286],[388,286], $
  [386,287],[387,287],[388,287]]
roi2.AddPixels, pixelAddr2, SPATIALREF=Subset.SpatialRef
roi3 = EnviRoi(NAME='Ground')
pixelAddr3 = [[296,326],[297,326],[298,326], $
  [296,327],[297,327],[298,327], $
  [296,328],[297,328],[298,328]]
roi3.AddPixels, pixelAddr3, SPATIALREF=Subset.SpatialRef
 
; Retrieve the spectra from the ROIs and use their mean as endmembers to
; the Mixture Tuned Matched Filter task.
spectra1 = subset.GetData(ROI=roi1)
mean1 = Total(spectra1,1) / nSpectra
spectra2 = subset.Getdata(ROI=roi2)
mean2 = Total(spectra2,1) / nSpectra
spectra3 = subset.GetData(ROI=roi3)
mean3 = Total(spectra3,1) / nSpectra
endmembers = [[mean1],[mean2],[mean3]]
 
; Get the task from the catalog of ENVITasks
Task = ENVITask('MixtureTunedMatchedFilter')
Task.INPUT_RASTER = subset
Task.Endmembers = endmembers
Task.Names = ['Green Field', 'Soil', 'Ground']
 
; Run the task
Task.Execute
mtmfRaster = Task.Output_Raster
 
; Get the data collection
dataColl = e.Data
; Add the output to the data collection
dataColl.Add, mtmfRaster
 
; Display the result
View = e.GetView()
Layer = View.CreateLayer(mtmfRaster)
 
Task = ENVITask('MixtureTunedRuleRasterClassification')
Task.INPUT_RASTER = mtmfRaster
Task.Execute
Layer = View.CreateLayer(Task.OUTPUT_RASTER)

Syntax


Result = ENVITask('MixtureTunedRuleRasterClassification')

Input parameters (Set, Get): CLASS_COLORS, CLASS_NAMES, INFEASIBILITY, INPUT_RASTER, MINIMUM_RULE, OUTPUT_RASTER_URI, THRESHOLD

Output parameters (Get only): OUTPUT_RASTER

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


CLASS_COLORS (optional)

Specify a (3,n) byte array with the RGB colors for the given ranges, where n is the number of classes

CLASS_NAMES (optional)

This is a string array of class names.

INFEASIBILITY (optional)

Specify a value or array of the infeasibilities. If only a value, it will be used for every band. Pixels higher than this value will be set to unclassified. If not given, the maximum infeasibility of every band will be used.

INPUT_RASTER (required)

Specify a raster on which to perform supervised classification.

MINIMUM_RULE (optional)

To use MINIMUM_RULE for the classification, set this value to 1. This uses the lowest score values of each pixel class for the final classification. If 0 (the default of MAXIMUM_RULE), the highest score values of each pixel class are used for the final classification.

For example, a rule image pixel with 3 bands could be classified into grass, water, or dirt when all meet the THRESHOLD. The pixel values are grass: 0.75, water: 0.63, and dirt: 0.46.

  • If the value is 1 (MINIMUM_RULE), dirt will be classified because has the lowest value at 0.46.

  • If the value is 0 (MAXIMUM_RULE), grass will be classified because it has the highest value at 0.75.

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 parameter, or set it to an exclamation symbol (!), ENVI creates a temporary file.
  • If you set it to the hash symbol (#), ENVI creates a file in the temporary directory, but this file will not be deleted when ENVI closes.

THRESHOLD (optional)

Specify a value or array of the thresholds. If only a value, it will be used for every band. Pixels lower than this value will be set to unclassified.

Output Parameters


OUTPUT_RASTER

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

Methods


Execute

Parameter

ParameterNames

Properties


DESCRIPTION

DISPLAY_NAME

NAME

REVISION

TAGS

Version History


ENVI 6.0

Introduced