Spatial Mean Filter
Applies local averaging in the image plane independently for each The filter size defines the square spatial neighborhood used for averaging. A value of 3 uses a 3 x 3 neighborhood.
Overview
Applies local averaging in the image plane independently for each The filter size defines the square spatial neighborhood used for averaging. A value of 3 uses a 3 x 3 neighborhood.
If an even value is entered, IDCubePro increases it to the next Larger kernels produce stronger spatial smoothing and reduce local Spatial smoothing does not change the number or position of the
- Spatial pixel noise is present.
- Small local intensity fluctuations should be suppressed.
- Spectral band positions should remain unchanged.
Spatial averaging can blur edges, reduce small objects, and suppress fine spatial detail when the selected neighborhood is too large.
Workflow
1. Load a hyperspectral dataset.
2. Open Correct > Filtering & Enhancement.
3. Select Spatial Mean Filter.
4. Enter the desired filter size.
5. Inspect the filtered image and spectra.
6. Use Reset Filters if the result is not desired.