Synthèse
Creates a raster object by removing speckle and smoothing out noise in radar datasets, while retaining edges and sharp features in the image.
Discussion
For more information about how this function works, see the Speckle raster function.
The referenced raster dataset for the raster object is temporary. To make it permanent, you can call the raster object's save method.
Syntaxe
Speckle (raster, {filter_type}, {filter_size}, {noise_model}, {noise_var}, {additive_noise_mean}, {multiplicative_noise_mean}, {nlooks}, {damp_factor})
Paramètre | Explication | Type de données |
raster | The input raster. | Raster |
filter_type | Specifies the filter type to be used in the smoothing algorithm to remove speckle noise.
(La valeur par défaut est Lee) | String |
filter_size | The size of the filter window in pixels.
(La valeur par défaut est 3x3) | String |
noise_model | Specifies the type of noise that is reducing the quality of the radar image. This parameter is only valid when the filter_type argument is set to Lee.
(La valeur par défaut est Multiplicative) | String |
noise_var | Specifies the noise variance of the radar image. This parameter is only valid when the filter_type argument is set to Lee and the noise_model argument is set to Additive or AdditiveAndMultiplicative. (La valeur par défaut est None) | Double |
additive_noise_mean | Specifies the mean value of additive noise. A larger noise mean value will produce less smoothing, while a smaller value results in more smoothing. This parameter is only valid when the filter_type argument is set to Lee and the noise_model argument is set to Additive or AdditiveAndMultiplicative. (La valeur par défaut est None) | Double |
multiplicative_noise_mean | Specifies the mean value of multiplicative noise. A larger noise mean value will produce less smoothing, while a smaller value results in more smoothing. This parameter is only valid when the filter_type argument is set to Lee and the noise_model argument is set to Additive or AdditiveAndMultiplicative. (La valeur par défaut est 1) | Double |
nlooks | Specifies the number of looks of the image, which controls image smoothing and estimates noise variance. A smaller value results in more smoothing, while a larger value retains more image features. This parameter is only valid when the filter_type argument is set to Lee and the noise_model argument is set to Multiplicative, or when the filter_type argument is set to Kaun. (La valeur par défaut est 1) | Integer |
damp_factor | Specifies the extent of exponential damping effect on filtering. A larger damping value preserves edges better but smooths less, while a smaller value produces more smoothing. This parameter is only valid when the filter_type argument is set to EnhancedLee or Frost. (La valeur par défaut est None) | Double |
Type de données | Explication |
Raster | The output raster. |
Exemple de code
Applies the Lee filter to Sentinel 1 radar imagery.
import arcpy
out_speckle_raster = arcpy.sa.Speckle("Sentinel_1.tif", filter_type="Lee", filter_size="3x3",
noise_model="AdditiveAndMultiplicative", noise_var=0.25,
additive_noise_mean=0, multiplicative_noise_mean=1)
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