RasterFilter

class eolab.georastertools.processing.rasterproc.RasterFilter(name: str, algo: ~typing.Callable | None = None, nodata: float = -2.0, dtype: ~numpy.dtype = <class 'numpy.float32'>, per_band_algo: bool = False)

Bases: RasterProcessing

Class that defines a raster processing for applying a filter on a kernel (square of configurable size).

Attributes

RasterFilter.algo	Process an algo that is called on a multidimensional array of data
RasterFilter.aliases	Aliases of the processing
RasterFilter.arguments	Definition of Arguments that parametrize the processing algorithm (see with_arguments for the description of the data structure)
RasterFilter.compress	Set the compression to use
RasterFilter.description	Long description of the processing
RasterFilter.dtype	Type of the generated data
RasterFilter.help	Help message of the processing
RasterFilter.in_dtype	Type of the processed data
RasterFilter.name	Name of the processing
RasterFilter.nbits	Bits size of the generated data
RasterFilter.nodata	No data value of the generated data
RasterFilter.per_band_algo	Whether the algo is applied on a dataset that contains only one band (per_band_algo=True) or on a dataset with all bands (per_band_algo=False)

Methods

RasterFilter.__init__(name[, algo, nodata, ...])	Constructor.
RasterFilter.compute(input_data)	Compute the output from the different bands of the input data.
RasterFilter.configure(argsdict)	Configure the processing algo with its specific arguments' values
RasterFilter.with_arguments(arguments)	Add new arguments that parametrize the processing algorithm.
RasterFilter.with_documentation([aliases, ...])	Set up the documentation for the processing