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  >  Docs Center  >  ENVI API  >  Processing  >  ENVIRXAnomalyDetectionTask

ENVIRXAnomalyDetectionTask

ENVIRXAnomalyDetectionTask

This task uses the Reed-Xiaoli Detector (RXD) algorithm to identify the spectral or color differences between a region to test and its neighboring pixels or the entire dataset.

Example


; Start the application
e = ENVI()
 
; Open an input file
File = Filepath('qb_boulder_msi', Subdir=['data'], $
  Root_Dir=e.Root_Dir)
Raster = e.OpenRaster(File)
 
; Process a spatial subset
Subset = ENVISubsetRaster(Raster, Sub_Rect=[600,200,799,399])
 
; Get the task from the catalog of ENVITasks
Task = ENVITask('RXAnomalyDetection')
 
; Define inputs
Task.INPUT_RASTER = Subset
 
; Define outputs
Task.OUTPUT_RASTER_URI = e.GetTemporaryFilename()
 
; Run the task
Task.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, Task.Output_Raster
 
; Display the result
View1 = e.GetView()
Layer1 = View1.CreateLayer(Task.Output_Raster)

Syntax


Result = ENVITask('RXAnomalyDetection')

Input properties (Set, Get): ANOMALY_DETECTION_METHOD, INPUT_RASTER, KERNEL_SIZE, MEAN_CALCULATION_METHOD, OUTPUT_RASTER_URI, SUPPRESS_VEGETATION

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:

AddParameter

Execute

Parameter

ParameterNames

RemoveParameter

Properties


This task inherits the following properties from ENVITask:

COMMUTE_ON_DOWNSAMPLE

COMMUTE_ON_SUBSET

DESCRIPTION

DISPLAY_NAME

NAME

REVISION

TAGS

This task also contains the following properties:

ANOMALY_DETECTION_METHOD (optional)

Specify one of the following strings, indicating which anomaly detection method to use. See the RX Anomaly Detection help topic for more detailed descriptions of each method. The default value is RXD.

  • RXD: Standard RXD algorithm
  • UTD: Uniform Target Detector algorithm
  • RXD-UTD: Hybrid of the RXD and UTD algorithms

INPUT_RASTER (required)

Specify a raster on which to perform anomaly detection.

KERNEL_SIZE (optional)

Specify the kernel size in pixels, around a given pixel that will be used to create a mean spectrum. Use an odd number. The minimum value is 3, and the maximum value is (number of columns - 1) less than (number of rows - 1). Specify KERNEL_SIZE only when using the Local option for MEAN_CALCULATION_METHOD. The default value is 9.

MEAN_CALCULATION_METHOD (optional)

Specify one of the following strings, indicating which mean calculation method to use. The default value is Global.

  • Global: Derive the mean spectrum from the full dataset.
  • Local: Derive the mean spectrum from the KERNEL_SIZE around a given pixel.

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.

SUPPRESS_VEGETATION (optional)

Set this property to true to suppress vegetation anomalies in the RXD results. The options are true or false (default).

Version History


ENVI 5.2

Introduced

API Version


3.2

See Also


ENVITask, ENVITask::Parameter, ENVISubsetRaster



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