This task performs the Orthogonal Subspace Projection (OSP) target analysis.

Example


This example performs the following steps:

  • Opens an AVIRIS hyperspectral image subset.

  • Runs a forward minimum noise transform (MNF) to reduce noise in the data.

  • Defines three regions of interest (ROIs), each containing nine pixels of a common material.

  • Retrieves the spectra from the ROIs and uses their means as targets for Orthogonal Subspace Projection.

  • Runs the OSP task, which performs orthogonal subspace projection target analysis.

  • Displays the result. To see all of the bands, open the Data Manager.

; 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 OSP
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 targets
; for the Orthogonal Subspace Projection (OSP) 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
targets = [[mean1],[mean2],[mean3]]
 
; Get the task from the catalog of ENVITasks
Task = ENVITask('OrthogonalSubspaceProjection')
Task.INPUT_RASTER = Subset
Task.TARGET = targets
 
; Run the task
Task.Execute
 
; Get the data collection
dataColl = e.Data
 
; Add the output to the data collection
dataColl.Add, Task.OUTPUT_RASTER
 
; Display the result
View = e.GetView()
Layer = View.CreateLayer(Task.OUTPUT_RASTER)

Syntax


Result = ENVITask('OrthogonalSubspaceProjection')

Input parameters (Set, Get): BACKGROUND, INPUT_RASTER, NAMES, OUTPUT_RASTER_URI, TARGET

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


BACKGROUND (optional)

Specify the background spectra. It is a floating-point array. The array size is [number of bands, number of background spectra]. If not defined, at least two target spectra are needed.

INPUT_RASTER (required)

Specify an input raster to process.

NAMES (optional)

Specify an array of target names. The array size must be [number of targets].

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.

TARGET (required)

Specify the target spectra. It is a floating-point array. The array size is [number of bands, number of target spectra].

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

See Also


ENVITask, Masking Support in ENVITasks