SpectralAdaptiveCoherenceEstimator Task
This task performs Adaptive Coherence Estimator (ACE) target detection analysis.
To perform ACE using subspace background statistics, see the SpectralAdaptiveCoherenceEstimatorUsingSubspaceBackgroundStatistics task.
Example
ACE target detection involves multiple steps, as this code example demonstrates:
- Open a spectral library.
- Open a hyperspectral image.
- Get the wavelength values and units from the image.
- Choose an individual spectrum from the spectral library.
- Resample the spectrum to the wavelengths of the image.
- Run ACE target detection.
- Display the resulting image. Brighter pixels represent a close match to the Dry Grass spectrum.
This example takes several minutes to complete. Copy and paste the following code into the IDL Editor:
; Launch the application
e = ENVI()
; Open a spectral library
specLibFile = FILEPATH('veg_2grn.sli', ROOT_DIR=e.ROOT_DIR, $
SUBDIR=['resource', 'speclib', 'veg_lib'])
specLib = ENVISpectralLibrary(specLibFile)
; Open a hyperspectral image
file = FILEPATH('AVIRISReflectanceSubset.dat', $
ROOT_DIR=e.ROOT_DIR, $
SUBDIRECTORY = ['data', 'hyperspectral'])
raster = e.OpenRaster(file)
; Get wavelength values and units from raster
metadata = raster.METADATA
wavelengths = metadata['Wavelength']
wavelengthUnits = metadata['Wavelength Units']
; Get the selected spectrum from spectral library
Task1 = ENVITask('GetSpectrumFromLibrary')
Task1.INPUT_SPECTRAL_LIBRARY = specLib
Task1.SPECTRUM_NAME = 'Dry Grass'
Task1.Execute
; Get the resample spectrum task from the catalog of ENVITasks
Task2 = ENVITask('ResampleSpectrum')
; Define inputs
; Spectrum from library to be resampled
Task2.INPUT_SPECTRUM = Task1.SPECTRUM
; Wavelengths from spectral library
Task2.INPUT_WAVELENGTHS = Task1.WAVELENGTHS
; Wavelength units from spectral library
Task2.INPUT_WAVELENGTH_UNITS = Task1.WAVELENGTH_UNITS
; Wavelengths from raster
Task2.RESAMPLE_WAVELENGTHS = wavelengths
; Wavelength units from raster
Task2.RESAMPLE_WAVELENGTH_UNITS = wavelengthUnits
; Run the resample spectrum task
Task2.Execute
; Get the ACE task from the catalog of ENVITasks
ACETask = ENVITask('SpectralAdaptiveCoherenceEstimator')
; Define inputs
ACETask.INPUT_RASTER = raster
ACETask.SPECTRA = Task2.OUTPUT_SPECTRUM
; Run the task
ACETask.Execute
; Get the collection of data objects currently available in the Data Manager
DataColl = e.Data
; Add the output to the Data Manager
DataColl.Add, ACETask.OUTPUT_RASTER
; Display the result
View = e.GetView()
Layer = View.CreateLayer(ACETask.OUTPUT_RASTER)
Syntax
Result = ENVITask('SpectralAdaptiveCoherenceEstimator')
Input properties (Set, Get): COVARIANCE, INPUT_RASTER, MEAN, OUTPUT_RASTER_URI, SPECTRA
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:
This task also contains the following properties:
COVARIANCE (optional)
Specify an array that is the covariance matrix of the input bands. The array size is [number of bands, number of bands].
INPUT_RASTER (required)
Specify a raster on which to perform the Adaptive Coherence Estimator.
MEAN (optional)
Specify an array that is the mean of the input bands. The number of elements in the array must match the number of bands.
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 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.
SPECTRA (required)
Specify a floating-point array with the target spectra. The array size is [number of bands, number of target spectra].
Version History
ENVI 5.2. 1 |
Introduced |
API Version
4.2
See Also
ENVITask, SpectralSubspaceBackgroundStatistics Task, SpectralAdaptiveCoherenceEstimatorUsingSubspaceBackgroundStatistics Task