Enhanced Lee applies a Lee adaptive-speckle filter. While reducing speckle in the image, the filter preserves the polarimetric and spatial information in the image. Spatial information is preserved by using an edge detector to identify a homogeneous local neighborhood in which to estimate the filter parameters.
Boxcar applies a boxcar filter to detected or complex-valued SAR data. It is used commonly to increase the effective number of looks (ENL) in single-look or multi-look SAR data. Speckle reduction is applied by using local averaging.
To minimize the effect of backscattering, you can apply tail trimming. With SAR data, frequency histograms are often characterized by strong outliers in the rightmost tail of the data distribution; that is, point targets with a high-backscattering coefficient several magnitudes higher than the bulk of the data. Segmentation is influenced strongly by these "scatterers" and can produce substandard results over distributed targets, such as forest, water, agricultural field, bare soil, and others.
The following image, for a given SAR channel, shows that 15 percent of the brightest pixels correspond to 0.08 in intensity. With at tail trim of 15 percent, all pixels with a value higher than 0.08 will be reassigned temporarily to 0.08 for the segmentation; however, the original pixel values are used in the attribute calculation.
To select SAR preprocessing settings
The SAR-Preprocessing Settings window appears.
The value you enter must be an odd integer between one and 33. For example, to use a 15-by-15 filter window, enter 15. The default value is nine (9).
For example, to apply a tail trim of 20 percent, enter 20.
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