adaptive_gaussian

eolab.georastertools.processing.algo.adaptive_gaussian(input_data: ndarray, kernel_size: int = 8, sigma: int = 1) → ndarray[source]

Applies an Adaptive Gaussian Filter to the input data that smoothes the input while preserving edges.

Parameters:

  • input_data (np.ndarray) – A 3D numpy array of shape (1, number_of_lines, number_of_columns) containing the Digital Elevation Model (DEM). The function only accepts arrays with one band.

  • kernel_size (int) – The size of the kernel used for the adaptive filtering. Default is 8.

  • sigma (int) – The standard deviation of the Gaussian distribution, which controls the level of smoothing. Default is 1.

Returns:

A numpy array of the same shape as input_data, containing the filtered data.

Return type:

np.ndarray

Raises:

ValueError – If input_data does not have 3 dimensions or if the first dimension is not of size 1.