Processing Kernel for remote sensing data
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Filter input.tif with morphological dilation filter. Use a circular kernel (instead of rectangular) of size 3x3.
Similar to previous example, but consider only values of 255 for filtering operation. Typical usage: dilate cloud values in input image that are flagged as 255
Filtering in spectral/temporal domain. Calculate the median value for each pixel, calculated on a moving window of width 3 (-dz 3) over all input bands. The output raster dataset will contain as many bands as the input raster dataset.
"Filtering" in spectral/temporal domain. No moving window (-dz 1). Calculate the standard deviation for each pixel, calculated on all input bands. The output raster dataset will contain a single band only.
"Smooth" (interpolate) nodata in spectral/temporal domain (-dz 1), using a linear interpolation. The following interpolation types are supported: akima (default), linear, polynomial, cspline, cspline_periodic, akima_periodic (please check gsl page for more information on the interpolation types).