HOTSPOT

Hot spot image correction


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

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Description


HOTSPOT performs hot spot correction on image data.
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Parameters


Name Type Length Value range
Input: Input raster channel(s) or layer(s) * Raster port 1 - 1024  
Output: Output raster channel(s) or layer(s) * Raster port 1 - 1024  

* Required parameter
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Parameter descriptions

Input: Input raster channel(s) or layer(s)

Specifies the channel(s) or layer(s) in the input file to be corrected. Up to 1,024 channels or layers can be handled and a maximum of 48 integer values can be specified. Duplicate output channels are not allowed.

The total number of channels specified by DBIC (Input) must be equal to the total number of channels specified by DBOC (Output).

Output: Output raster channel(s) or layer(s)

Specifies the output channel(s) or layer(s) that receive the corrected output channel(s). Although this parameter can be the same as DBIC (Input), it is not recommended, since you will be changing your raw data.

Duplicate output channels are not allowed. The total number of channels specified by DBIC (Input) must be equal to the total number of channels specified by DBOC (Output).

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Details

HOTSPOT performs hot spot correction on an image channel. This is useful as a pre-processing step for computing a mosaic with a set of images to improve the homogeneity of each image, removing an over-all hot spot or side-to-side fade from each image.

HOTSPOT can be run on either raw images or orthorectified images. HOTSPOT computes and applies a hot spot correction for an image channel. The correction is computed by fitting a second-order polynomial to all of the non-background valued pixels in the image channel. The value 0 is considered to be background and is ignored.

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