| Environments | PYTHON :: EASI :: MODELER |
| Batch Mode | Yes |
| Quick links | Description :: Parameters :: Parameter descriptions :: Details |
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| Name | Type | Length | Value range |
|---|---|---|---|
| Input: Input image channel to be classified * | Raster port | 1 - 1 | |
| InputTheme: Input theme channel * | Raster port | 1 - 1 | |
| Output Type | String | 0 - 1 | MEAN | MODE Default: MEAN |
| Output: Output homogeneous channel * | Raster port | 1 - 1 | |
| Resample Mode | String | 0 - 1 | Near | Bilinear | Cubic Default: Near |
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Input: Input image channel to be classified
Specifies the input raster channel to classify for defined homogeneous areas.
The input channel must NOT be the same as the input theme channel (DBTC) or the output channel (DBOC).
InputTheme: Input theme channel
Specifies the input theme channel that defines the homogeneous areas of interest.
The input theme channel must NOT be the same as the input image channel (DBIC) or the output channel (DBOC).
Output Type
Specifies the output type of imagery.
Output: Output homogeneous channel
Specifies the output raster channel to receive the output imagery.
The output channel must NOT be the same as the input image channel (DBIC) or the input theme channel (DBTC).
Resample Mode
Specifies the resampling method to use in evaluating the output image pixel values.
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HOM classifies all pixels in an input image channel (DBIC) using an input theme channel (DBTC) to define the homogeneous areas of interest; up to 2048 areas may be processed.
The output image channel (DBOC) results are determined by the OTYP (Output Type) parameter. If the output type is "MEAN", the mean (or average) gray-level of the input image pixels for a defined homogeneous area will be output to the corresponding pixels in the output channel.
If the output type is "MODE", the mode (or most common gray level) in a defined homogeneous area is used as output.
If the output type is "MEAN", the HOMTHRES and NCVALUE parameters are ignored.
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