PSCONF

POLSAR conformity coefficient image


EnvironmentsPYTHON :: EASI :: MODELER
Batch ModeYes
Quick linksDescription :: Parameters :: Parameter descriptions :: Details :: Algorithm :: References

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Description


Estimate the conformity coefficient for each pixel.
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Parameters


Name Type Length Value range
Input: Input fully polarimetric SAR image * Raster port 1 -    
Output: Output conformity coefficient image * Raster port 1 -    

* Required parameter
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Parameter descriptions

Input: Input fully polarimetric SAR image

The name of the input polarimetric SAR data set, which must be either non-symmetrized or symmetrized fully polarimetric (quad-polarization) complex data. The input data set must be in scattering, covariance, coherence, or Kennaugh matrix format.

The input data must already have been imported in the PCIDSK (.pix) format by SARINGESTAlternatively, it can be the key-file name of any GDB-supported POLSAR data set in its distribution format. For more information, and a complete list of supported POLSAR sensors and data products, see SARINGEST.

Output: Output conformity coefficient image

The name of the output file that will contain the conformity coefficient. The output file has the same dimensions as the input, and one channel containing the conformity coefficient, stored as floating-point pixel values.

The specified file must not already exist.

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Details

The conformity coefficient can be used as an unsupervised classification technique and requires fully polarimetric data as input. When the coefficient is greater than zero, Bragg scattering is dominant, while a coefficient of less than zero indicates non-Bragg scattering is dominant. This parameter can be used to, for example, differentiate between the ambient ocean and oil slicks.
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Algorithm

PSCONF computes the conformity coefficient for each pixel. If required, the input data is converted to a symmetrized covariance matrix. The real valued output is computed as:

Conformity = [2*Re(C13)-C22] / [C11+2*C22+C33]
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References

Zhang B., Perrie W., Xiaofeng L., Pichel W., "Mapping sea surface oils slicks using RADARSAT-2 quad-polarization SAR Image", Geophysical Research letters, Vol. 38, May 2011.

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