Gaussian Filter
- Author: O.Conrad (c) 2008
- Menu: Grid | Filter
Description
The Gaussian filter is a low-pass filter operator that is used to 'blur' or 'soften' data and to remove detail and noise.
The degree of smoothing is determined by the kernel size specified as radius and the weighting of each raster cell within the kernel. The weighting scheme uses the Gaussian bell curve function and can be adjusted to the kernel size with the 'Standard Deviation' option.
Parameters
| | Name | Type | Identifier | Description | Constraints |
|---|
| Input | Grid | grid, input | INPUT | - | - |
| Output | Filtered Grid | grid, output, optional | RESULT | - | - |
| Options | Grid System | grid system | PARAMETERS_GRID_SYSTEM | - | - |
| Kernel Radius | integer number | KERNEL_RADIUS | - | Minimum: 1
Default: 2 |
| Standard Deviation | floating point number | SIGMA | The standard deviation as percentage of the kernel radius. | Minimum: 1.000000
Default: 50.000000 |
Command Line
Usage: saga_cmd grid_filter 1 [-INPUT ] [-RESULT ] [-KERNEL_RADIUS ] [-SIGMA ]
-INPUT: Grid
grid, input
-RESULT: Filtered Grid
grid, output, optional
-KERNEL_RADIUS: Kernel Radius
integer number
Minimum: 1
Default: 2
-SIGMA: Standard Deviation
floating point number
Minimum: 1.000000
Default: 50.000000