INSRAW

Generate a raw or adaptively filtered interferogram


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

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Description


INSRAW creates a raw interferogram using coregistered reference and dependent data sets. INSRAW supports the following coregistration configurations:

  1. i. dependent file resampled to the reference file
  2. ii. reference file resampled to the dependent file
  3. iii. reference and dependent resampled to a third slant range file.

All resampling must be performed by the INSCOREG module.

You can, as an option, filter the interferogram by using an adaptive Lee filter.

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Parameters


Name Type Length Value range
DBIC_REF Integer 0 - 1024  
InputRef: Reference image * Raster port 1 - 1  
InputDep: Resampled dependent file * Raster port 1 - 1  
ApplyFilter Boolean 0 - 1 True | False
Default: False
Filter size (pixels) Integer 0 - 1  
Output: Output raw interferogram * Raster port 1 -    

* Required parameter
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Parameter descriptions

DBIC_REF

The list of channel numbers from the reference file.

InputRef: Reference image

The list of channel numbers to use as the reference data set.

InputDep: Resampled dependent file

The list of channel numbers from the dependent file. The number of channels must match identically with the number in the reference file.

ApplyFilter

Select this check box to apply an adaptive Lee filter to the interferogram. When you select this check box, you must also type or select a value for Filter size.

Filter size (pixels)

The filter size, in pixels, of the adaptive Lee filter to apply. You specify the filter as n x n, where n is an odd integer greater than or equal to five.

Output: Output raw interferogram

The name of the output file to which to write the raw interferograms. The file will contain the same number of pixels and lines as the reference file and the number of channels you specified. Nonoverlapping areas will be processed as NoData. The file name you specify must not exist already.
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Details

The dependent file must be coregistered and aligned (by running the INSCOREG algorithm) pixel-by-pixel with the reference file. Both the reference and resampled dependent file must be in single-look complex format (SLC), and the beam modes must be the same. The output file will contain the same number of pixels and lines as the reference file with the number of complex valued channels you specified. Each output channel represents the interferometric product of the corresponding input channels.
Note: The value of DBIC_REF and DBIC need not be identical.

Viewing unfiltered interferograms in CATALYST Professional Focus

In Focus, the default interpretation of complex values is Intensity. If you opted not to use the adaptive Lee filter, the interferometric phase is computed without filtering (i.e. 1x1), but the resulting interferogram will have the magnitude (and intensity) associated with the minimum 5x5 filter. This is to avoid generating an interferogram with a constant coherence (amplitude) value of one. If you want to view unfiltered interferograms in Focus, open the file, and then do either of the following:
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Algorithm

The following formula is the complex-valued correlation coefficient of the input reference and dependent files, where wi is the weight of the adaptive Lee Filter, Ik ref and Ik dep are the complex values of the references and coregistered dependent data for the kth channel listed in reference and dependent files, respectively, * is the complex conjugate, and N is the size of the adaptive filter. If N = 1, then |γraw| = 1.
The magnitude of the correlation coefficient is the coherence of the interferogram. Typically, a higher coherence represents a higher-quality interferogram. The magnitude of a complex number is computed as follows:
The phase of the correlation coefficient is the relevant wrapped interferometric phase. The phase of a complex number is computed as follows:
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Acknowledgements

The PCI Interferometric SAR (InSAR) project was funded in part by the Canadian Space Agency under the Earth Observation Application Development Program (EOADP) contract (9F043-130644/006/MTB), Application Development for Environmental Monitoring and Remediation.

© PCI Geomatics Enterprises, Inc.®, 2026. All rights reserved.