Environments | PYTHON :: EASI :: MODELER |
Batch Mode | Yes |
Quick links | Description :: Parameters :: Parameter descriptions :: Details :: Related |
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Name | Type | Length | Value range |
---|---|---|---|
Input: Input complex or detected SAR image* | Raster port | 1 - | |
Reference: Reference complex or detected SAR image* | Raster port | 1 - | |
Output: Output intensity change metric raster* | Raster port | 1 - | |
Window size | Integer | 0 - 1 | 1 | 3 | 5 | 7 | 9 | 11 | 13 | 15 | 17 | 19 | 21 | 23 | 25 | 27 | 29 | 31 | 33 Default: 1 |
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Input: Input complex or detected SAR image
Specifies the SAR image input layers.
The data may be integer, real, or complex valued. This file must have the same georeferencing, pixel size, viewing geometry, bit depth, matrix representation, and calibration type as the specified reference image.
Reference: Reference complex or detected SAR image
Specifies the reference SAR image layers.
The data may be integer, real, or complex valued, but it must preserve the same structure as the input test image. This file must have the same georeferencing, pixel size, viewing geometry, bit depth, matrix representation, and calibration type as the specified input image.
Output: Output intensity change metric raster
Specifies the name of the output file that is created.
The specified file must not already exist.
The direction of change is inferred by visual inspection of the output.
Window size
Optionally specifies the size of the square window that is moved over the images. All of the pixels in the window are averaged together for the value of the center pixel. The window size value must be an odd integer. By default, no averaging is performed.
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CCDINTEN measures the change in total radar backscattering between the test and reference SAR images. If the image is single-look complex, the intensity is derived and output to the specified output file. CCDINTEN is NoData-aware, meaning that pixels that contain the value defined as 'NoData' in the metadata of the input file(s) are excluded from processing. The overlap area is automatically extracted.
It is recommended that you ingest the input and reference images through IMPORTSAR, check the pixel alignment (or run AUTOSHIFT), and filter the data (to reduce false alarm rate) before computing the change.
CCDINTEN also supports integer or real valued speckle filtered data as test or reference file input. A number of speckle filters that work on the intensity, amplitude, or complex data may be applied to the files before running CCDINTEN.
The input layers and reference layers must be comparable on a corresponding basis (for example, the first layers from each image must have the same polarizations).
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