This task computes first-order entropy texture metrics on an input raster.
The virtual raster associated with this task is ENVIFirstOrderEntropyTextureRaster.
ENVI uses the following equation from Anys et al. (1994) to compute entropy using the pixel values in a kernel centered at the current pixel. Entropy is calculated based on the distribution of the pixel values in the kernel. It measures the disorder of the values in a kernel.
Where:
= Probability of each pixel value
= Number of distinct grey levels in the quantized image
Reference: Anys, H., A. Bannari, D. C. He, and D. Morin. "Texture analysis for the mapping of urban areas using airborne MEIS-II images." Proceedings of the First International Airborne Remote Sensing Conference and Exhibition 3 (1994): 231-245.
Example
This example computes first-order entropy texture from a raster and displays the first entropy band.
e = ENVI()
File = Filepath('qb_boulder_msi', Subdir=['data'], $
Root_Dir=e.Root_Dir)
Raster = e.OpenRaster(File)
Task = ENVITask('FirstOrderEntropyTexture')
Task.INPUT_RASTER = Raster
Task.Execute
DataColl = e.Data
DataColl.Add, Task.OUTPUT_RASTER
View1 = e.GetView()
Layer1 = View1.CreateLayer(Task.OUTPUT_RASTER, BANDS=[0], $
NAME='First-order entropy for band 1')
View2 = e.CreateView()
Layer2 = View2.CreateLayer(Task.OUTPUT_RASTER, BANDS=[1], $
NAME='First-order entropy for band 2')
View3 = e.CreateView()
Layer3 = View3.CreateLayer(Task.OUTPUT_RASTER, BANDS=[2], $
NAME='First-order entropy for band 3')
View4 = e.CreateView()
Layer4 = View4.CreateLayer(Task.OUTPUT_RASTER, BANDS=[3], $
NAME='First-order entropy for band 4')
View1.GeoLink, /LINK_ALL, /ZOOM_LINK
Syntax
Result = ENVITask('FirstOrderEntropyTexture')
Input parameters (Set, Get): BIN_COUNT, INPUT_RASTER, KERNEL_SIZE, MAX_SRC_VALUES, MIN_SRC_VALUES, OUTPUT_RASTER_URI
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
BIN_COUNT (optional)
Specify the number of bins in the histogram to be used for the entropy calculation. The default value is 64.
INPUT_RASTER (required)
Specify the input ENVIRaster. This routine accepts an image with any number of bands.
KERNEL_SIZE (optional)
Specify a two-element array [n,m] as the kernel size, where n is the number of columns and m is the number of rows. The values must be odd and at least 3, for example [3,3].
MAX_SRC_VALUES (optional)
Specify an array of maximum source values to be used in the histogram for the entropy calculation, one for each band. The number of elements in the array must match the number of bands. If you set this parameter, you must also set MIN_SRC_VALUES.
MIN_SRC_VALUES (optional)
Specify an array of minimum source values to be used in the histogram for the entropy calculation, one for each band. The number of elements in the array must match the number of bands. If you set this parameter, you must also set MAX_SRC_VALUES.
OUTPUT_RASTER_URI (optional)
Specify a string with the fully qualified filename and path to export the associated OUTPUT_RASTER.
- If you set this parameter to an asterisk symbol (*), the output raster will be virtual and not written to disk.
- If you do not specify this parameter, or set it to an exclamation symbol (!), a temporary file will be created.
- 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.
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 5.4 |
Introduced |
ENVI 5.5 |
OUTPUT_RASTER_URI now supports '*', which allows OUTPUT_RASTER to be virtual output.
|
See Also
ENVITask, ENVIFirstOrderEntropyTextureRaster, ENVILabelEntropyTextureRaster, LabelEntropyTexture Task, ENVIRankStrengthTextureRaster, RankStrengthTexture Task, Masking Support in ENVITasks