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Filter Encoding Standard extension for Imagery (supported by Machine Learning) #88

Open ghobona opened 6 years ago

ghobona commented 6 years ago

An extension to the FES that allows raster datasets to be filtered according to how well they match objects detected by a specific Machine Learning model. This potentially could support WCS and CSW. Imagine someone running a search for all images that show wild fires, aircraft or other objects. Such a FES extension could allow Filter elements to reference Convolutional Neural Network (CNN) models or others that have been registered in the OGC Definitions Server. Such a concept needs to be tried out in testbeds first.