Spectral convolution Ricker Wavelet filter
1D Ricker Wavelet filter kernel (sometimes known as a Mexican Hat kernel). The Ricker Wavelet, or inverted Gaussian-Laplace filter, is a bandpass filter. It smooths the data and removes slowly varying or constant structures (e.g. background). It is useful for peak or multi-scale detection.
Parameters
- Raster layer [raster]
Raster layer to be filtered.
- Kernel [string]
Python code. See RickerWavelet1DKernel for information on different parameters.
Default:
from astropy.convolution import RickerWavelet1DKernel kernel = RickerWavelet1DKernel(width=1)
- Normalize kernel [boolean]
Whether to normalize the kernel to have a sum of one.
Default: False
- Interpolate no data pixel [boolean]
Whether to interpolate no data pixel. Will result in renormalization of the kernel at each position ignoring pixels with no data values.
Default: True
Outputs
- Output raster layer [rasterDestination]
Raster file destination.
Command-line usage
>qgis_process help enmapbox:SpectralConvolutionRickerWaveletFilter
:
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Arguments
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raster: Raster layer
Argument type: raster
Acceptable values:
- Path to a raster layer
kernel: Kernel
Default value: from astropy.convolution import RickerWavelet1DKernel
kernel = RickerWavelet1DKernel(width=1)
Argument type: string
Acceptable values:
- String value
normalize: Normalize kernel
Default value: false
Argument type: boolean
Acceptable values:
- 1 for true/yes
- 0 for false/no
interpolate: Interpolate no data pixel
Default value: true
Argument type: boolean
Acceptable values:
- 1 for true/yes
- 0 for false/no
outputRaster: Output raster layer
Argument type: rasterDestination
Acceptable values:
- Path for new raster layer
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Outputs
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outputRaster: <outputRaster>
Output raster layer