ConstrainedEnergyMinimization Task

This task performs the Constrained Energy Minimization (CEM) 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 Constrained Energy Minimization.
Runs the CEM task, which performs constrained energy minimization 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 CEM

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 Constrained Energy Minimization (CEM) 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('ConstrainedEnergyMinimization')

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('ConstrainedEnergyMinimization')

Input properties (Set, Get): BACKGROUND_THRESHOLD, COVARIANCE, INPUT_RASTER, OUTPUT_RASTER_URI, TARGET, USE_COVARIANCE, USE_SUBSPACE_BACKGROUND

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:

Properties

This task inherits the following properties from ENVITask:

COMMUTE_ON_DOWNSAMPLE

BACKGROUND_THRESHOLD (optional)

This is a float value indicating the fraction of the background in the anomalous image to use when calculating statistics using subspace background. It ranges from 0.500 to 1.000 (the entire image), with the default 0.9.

COVARIANCE (optional)

Specify an array that is the covariance matrix of the input bands. The array size must be [number of bands, number of bands].

INPUT_RASTER (required)

Specify an input raster to process.

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 to export the associated OUTPUT_RASTER.

If you set this property to an asterisk symbol (*), the output raster will be virtual and not written to disk.
If you do not specify this property, or set it to an exclamation symbol (!), a temporary file will be created.

TARGET (required)

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

USE_COVARIANCE (optional)

Specify using the covariance matrix as background statistics instead of the input bands correlation matrix.

USE_SUBSPACE_BACKGROUND (optional)

Specify whether to use subspace background in statistics calculation.

Version History

ENVI 6.0

Introduced

API Version

4.2