Compute Seamlines

imageCollection

The image collection (mosaic dataset) name or URL. The image service must exist before calling the service to compute seamlines.

Syntax: A JSON object supports three keys: itemId, url, and uri. These keys are case sensitive.

Example:

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{"itemId": “<portal item id>”}
{“url”: “<image service url>”}
{“uri”: “<cloud raster uri or shared data path>”}

seamlinesMethod

(Required)

The method for generating the image collection's seamlines. The supported methods are:

• VORONOI : Generates seamlines using the area Voronoi diagram.
• DISPARITY : Generates seamlines based on the disparity images of stereo pairs. This method can avoid seamlines cutting through buildings.
• GEOMETRY : Generates seamlines for overlapping areas based on the intersection of footprints. Areas with no overlapping imagery will merge the footprints. This is the default.
• RADIOMETRY : Generates seamlines based on the spectral patterns of features within the imagery.
• EDGE_DETECTION : Generates seamlines over intersection areas based on the edges of features in the area.

context

(Optional)

Contains additional settings that allow you to customize the generation of seamlines. These additional settings include:

• parallelProcessingFactor : The specified number or percentage of processes will be used for the analysis.
• computeCandidate : Indicates whether “Compute Mosaic Candidates” will run inside the service task. Default value is False.
• maxOverlap : Defines the Maximum Area Overlap for running Compute Mosaic Candidates tool inside the task. Default value is 0.6.
• maxLoss : It is Maximum Area Loss Allowed for running Compute Mosaic Candidates tool inside the task. Default value is 0.05.
• minRegionSize : Any seamline polygons smaller than this specified threshold will be removed in the seamline result.
• pixelSize : Generates seamlines for raster datasets that fall within the specified spatial resolution size.
• blendType : Determine how to blend one image into another (Both , Inside , or Outside ) over the seamlines. Inside blends pixels inside the seamline, while Outside blends outside the seamline. Both will blend pixels on either side of the seamline.
• blendWidth : Specifies how many pixels will be blended relative to the seamline. Blending (feathering) occurs along a seamline between pixels of overlapping images.
• blendUnit : Specifies the unit of measurement for blendWidth . Pixels measures using the number of pixels, and Ground measures using the same units as the image collection.
• requestSizeType : Sets the units for requestSize . Pixels modifies requestSize based on the pixel size. This resamples the closest image based on the raster pixel size. Pixel scaling factor modifiers requestSize by specifying a scaling factor. This operation resamples the closest image by multiplying the raster pixel size with the pixel size factor.
• requestSize : Specifies the number of columns and rows for resampling. Though the maximum value is 5,000, this value can increase or decreased based on the complexity of your raster data. A greater image resolution provides more detail in the raster dataset but increases the processing time.
• minThinnessRatio : Defines how thin a polygon can be before its considered a sliver. This is based on a scale from 0 to 1.0, where a value of 0.0 represents a polygon that's almost a straight line, and a value of 1.0 represents a polygon that's a circle.
• maxSliverSize : Defines how large a Sliver can be before its considered a polygon. This uses the same scale as minThinnessRatio .

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{
  "minRegionSize": 100,
  "pixelSize": "",
  "blendType": "Both",
  "blendWidth": null,
  "blendUnit": "Pixels",
  "requestSizeType": "Pixels",
  "requestSize": 1000,
  "minThinnessRatio": 0.05,
  "maxSilverSize": 20
}

f

The response format. The default response format is html .

Values: html | json