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Previous: Mathematical Operations on Two Rasters
The highly anticipated RasterConvolver is finally here! New to FME 2018.1, the RasterConvolver is a transformer that applies a convolution filter to raster data. Convolution filters are applied using a kernel which is specified by a matrix of weights for the neighboring values. Filtering can be used to smooth, sharpen, enhance edges and other raster image manipulation operations.
In this scenario, you are interested in applying a convolution filter in order to sharpen a GeoTIFF image. For more information on Raster processing using the RasterConvolver, check out the Edge Detection with the RasterConvolver article or the Raster Slope Calculations as a RasterConvolver Example article.
The RasterConvolver accepts input features containing a raster geometry and outputs the features after applying a convolution filter to each band.
Note: By default, the preserve band interpretation is set to No - leaving this as No would convert the Red, Green, and Blue bands of the GeoTIFF to Real64 (i.e. convert to a grayscale image).
Data used in this tutorial originates from open data made available by the City of Vancouver, British Columbia. It contains information licensed under the Open Government License - Vancouver.
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