Smoothing

Smoothing#

The Smoothing filters work by passing a matrix which contains the filter over your raster dataset. The filter type, filter shape and the filter size can all be specified.

The Smoothing Filter interface has the following components:

  1. A visual representation of the smoothing filter matrix.

  2. Filter Type: This can be either 2D median or 2D mean. Note that your choice of filter may affect the number of filter shape options you have.

  3. Filter shape:

  • Box Window - this is a regular square matrix with constant values applied to the dataset.

  • Disk Window - this applies a disk of constant values to the dataset

  • Gaussian Window - this applies a Gaussian-shaped filter to the dataset. This option is only present for the 2D mean filter type.

  1. Filter size: The options here are dependent on the option chosen in filter shape. They are as follows:

  • X and Y for the Box Window - this is the number of rows and columns which will make up the box window

  • Radius in samples for the Disk Window - this creates a disk of the specified radius. The disk will have 2*radius rows and columns

  • Standard Deviation for the Gaussian Window - this creates a Gaussian box window where the values have the specified standard deviation.

_images/rastersmooth.png

Smoothing filters interface.#