| Environments | PYTHON :: EASI :: MODELER |
| Batch Mode | Yes |
| Quick links | Description :: Parameters :: Parameter descriptions :: Details |
| Back to top |
| Back to top |
| Name | Type | Length | Value range |
|---|---|---|---|
| Input: Input file name * | Raster port | 1 - | |
| Output: Random Noise Layer * | Raster port | 1 - 1024 | |
| Mean Value * | Float | 1 - 1 | |
| Standard Deviation * | Float | 1 - 1 | 0 - |
| Random Seed Value | Integer | 0 - 1 | 101 - 32767 Default: 1357 |
| Back to top |
Input: Input file name
Specifies the name of the input file that contains the layer(s) to be processed.
Output: Random Noise Layer
Specifies the output channel(s) or layer(s) to receive the output results.
Duplicate channels are not allowed.
Mean Value
Specifies the average gray-level value of Gaussian noise.
Standard Deviation
Random Seed Value
Specifies the random number seed.
This value must be an odd integer, between 101 and 32767.
| Back to top |
GNG generates Gaussian noise and adds it to a specified set of output image channels (DBOC) in the specified file. GNG is used to test the robustness of various image analysis algorithms, such as classifiers, filters, and transforms, in the presence of noise. The Gaussian noise has a specified mean (MEAN) and standard deviation (STDV), defined in gray-level units. When adding noise to existing image data, the mean is typically set to 0.
A random number seed (SEED) must be specified and must be an odd number. This allows the generation of different Gaussian images (based on different seeds) having the same mean and standard deviation.
© PCI Geomatics Enterprises, Inc.®, 2026. All rights reserved.