| Environments | PYTHON :: EASI :: MODELER |
| Batch Mode | Yes |
| Quick links | Description :: Parameters :: Parameter descriptions :: Details :: Algorithm :: Acknowledgements :: Related |
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INSRAW creates a raw interferogram using coregistered reference and dependent data sets. INSRAW supports the following coregistration configurations:
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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| 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 - |
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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.| Back to top |
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